-----------------------------------------------------------------------------------------------------------------------------
       log:  C:\Users\mbruhn\Documents\License to Sell\Paper\RESTAT\Data\tables_and_figures.log
  log type:  text
 opened on:  25 Jan 2010, 11:00:28

. * ------- *;
. * Table 1 *;
. * ------- *;
. preserve;

. keep if quarter>=20001 & quarter<=20014;
(962670 observations deleted)

. gen early=1 if sare_quarter<=20041;
(308198 missing values generated)

. replace early=0 if early==.;
(308198 real changes made)

. **Columns 1 & 2;
. sum worker* regist* lnincome if early==1;

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      worker |    365382     .501456    .4999986          0          1
   worker_lr |    365382    .2997821    .4581631          0          1
   worker_hr |    365382    .2016739    .4012505          0          1
      regist |    365382    .0841612    .2776298          0          1
   regist_lr |    365382    .0736708    .2612348          0          1
-------------+--------------------------------------------------------
   regist_hr |    365382    .0104904    .1018841          0          1
    lnincome |    218765    8.068601    .7450308   .6931472   13.66469

. sum worker* regist* lnincome if early==0;

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      worker |    308198    .4940882    .4999659          0          1
   worker_lr |    308198    .2869097    .4523198          0          1
   worker_hr |    308198    .2071785    .4052852          0          1
      regist |    308198    .0839039     .277244          0          1
   regist_lr |    308198    .0734009    .2607938          0          1
-------------+--------------------------------------------------------
   regist_hr |    308198     .010503    .1019446          0          1
    lnincome |    185521    7.891747    .8117036   2.079442   12.61161

. **Column 3;
. foreach var in worker worker_lr worker_hr regist regist_lr regist_hr lnincome{;
  2. reg `var' early,r cluster(code);
  3. };

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.38
                                                       Prob > F      =  0.5410
                                                       R-squared     =  0.0001
                                                       Root MSE      =  .49998

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
      worker |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |   .0073678   .0119284     0.62   0.541    -.0169007    .0316363
       _cons |   .4940882   .0099304    49.76   0.000     .4738847    .5142917
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.58
                                                       Prob > F      =  0.4534
                                                       R-squared     =  0.0002
                                                       Root MSE      =   .4555

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |   .0128724   .0169645     0.76   0.453    -.0216422     .047387
       _cons |   .2869097   .0103662    27.68   0.000     .2658194        .308
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.07
                                                       Prob > F      =  0.7922
                                                       R-squared     =  0.0000
                                                       Root MSE      =   .4031

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0055046   .0207239    -0.27   0.792    -.0476677    .0366584
       _cons |   .2071785   .0119691    17.31   0.000     .1828272    .2315298
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.00
                                                       Prob > F      =  0.9684
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .27745

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
      regist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |   .0002574   .0064478     0.04   0.968    -.0128608    .0133755
       _cons |   .0839039   .0044958    18.66   0.000     .0747571    .0930506
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.00
                                                       Prob > F      =  0.9630
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .26103

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |     .00027   .0057709     0.05   0.963     -.011471    .0120109
       _cons |   .0734009   .0037267    19.70   0.000     .0658189    .0809828
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.00
                                                       Prob > F      =  0.9946
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .10191

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0000126   .0018645    -0.01   0.995     -.003806    .0037808
       _cons |    .010503   .0011291     9.30   0.000     .0082059    .0128001
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  404286
                                                       F(  1,    33) =    4.75
                                                       Prob > F      =  0.0366
                                                       R-squared     =  0.0127
                                                       Root MSE      =  .77634

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
    lnincome |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |   .1768549   .0811595     2.18   0.037     .0117346    .3419751
       _cons |   7.891747    .049183   160.46   0.000     7.791683     7.99181
------------------------------------------------------------------------------

. **Column 4;
. egen sare_quarterid=group(sare_quarter);

. replace sare_quarterid=sare_quarterid+1 if sare_quarter>20022;
(630319 real changes made)

. replace sare_quarterid=sare_quarterid+1 if sare_quarter>20024;
(627745 real changes made)

. foreach var in worker worker_lr worker_hr regist regist_lr regist_hr lnincome{;
  2. reg `var' sare_quarterid,r cluster(code);
  3. };

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.77
                                                       Prob > F      =  0.3871
                                                       R-squared     =  0.0001
                                                       Root MSE      =  .49996

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
      worker |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |  -.0021082   .0024054    -0.88   0.387    -.0070019    .0027856
       _cons |    .514697   .0199698    25.77   0.000     .4740681     .555326
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.42
                                                       Prob > F      =  0.5203
                                                       R-squared     =  0.0001
                                                       Root MSE      =  .45551

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |  -.0018857   .0029016    -0.65   0.520    -.0077891    .0040176
       _cons |   .3087517   .0264453    11.68   0.000     .2549483    .3625551
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.00
                                                       Prob > F      =  0.9445
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .40311

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |  -.0002224   .0031687    -0.07   0.944    -.0066691    .0062242
       _cons |   .2059453   .0301887     6.82   0.000     .1445259    .2673648
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.62
                                                       Prob > F      =  0.4373
                                                       R-squared     =  0.0001
                                                       Root MSE      =  .27744

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
      regist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0008239   .0010479     0.79   0.437     -.001308    .0029558
       _cons |   .0775511   .0090568     8.56   0.000     .0591249    .0959774
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.50
                                                       Prob > F      =  0.4828
                                                       R-squared     =  0.0001
                                                       Root MSE      =  .26103

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0006842   .0009639     0.71   0.483    -.0012768    .0026453
       _cons |   .0681558   .0086042     7.92   0.000     .0506504    .0856611
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  673580
                                                       F(  1,    33) =    0.32
                                                       Prob > F      =  0.5739
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .10191

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0001397   .0002459     0.57   0.574    -.0003607    .0006401
       _cons |   .0093954   .0020632     4.55   0.000     .0051977     .013593
------------------------------------------------------------------------------

Linear regression                                      Number of obs =  404286
                                                       F(  1,    33) =    2.28
                                                       Prob > F      =  0.1403
                                                       R-squared     =  0.0106
                                                       Root MSE      =  .77718

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
    lnincome |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |  -.0297537   .0196931    -1.51   0.140    -.0698195    .0103121
       _cons |    8.22434    .183349    44.86   0.000     7.851313    8.597366
------------------------------------------------------------------------------

. **Column 5;
. keep if quarterid==3 | quarterid==7;
(481501 observations deleted)

. collapse early sare_quarter worker* regist* lnincome, by(code quarterid);

. foreach var in worker worker_lr worker_hr regist regist_lr regist_hr lnincome{;
  2. by code: gen `var'7_3=`var'[_n+1]-`var';
  3. };
(34 missing values generated)
(34 missing values generated)
(34 missing values generated)
(34 missing values generated)
(34 missing values generated)
(34 missing values generated)
(34 missing values generated)

. drop if quarterid==7;
(34 observations deleted)

. foreach var in worker worker_lr worker_hr regist regist_lr regist_hr lnincome{;
  2. reg `var'7_3 early,r;
  3. };

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    2.51
                                                       Prob > F      =  0.1231
                                                       R-squared     =  0.0727
                                                       Root MSE      =   .0231

------------------------------------------------------------------------------
             |               Robust
   worker7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0125495   .0079243    -1.58   0.123    -.0286908    .0035918
       _cons |    .004327   .0067676     0.64   0.527    -.0094583    .0181122
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    1.36
                                                       Prob > F      =  0.2521
                                                       R-squared     =  0.0408
                                                       Root MSE      =  .02642

------------------------------------------------------------------------------
             |               Robust
worker_lr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |    -.01057   .0090632    -1.17   0.252    -.0290311     .007891
       _cons |   .0099651   .0071692     1.39   0.174    -.0046381    .0245682
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.06
                                                       Prob > F      =  0.8010
                                                       R-squared     =  0.0020
                                                       Root MSE      =   .0227

------------------------------------------------------------------------------
             |               Robust
worker_hr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0019795   .0077877    -0.25   0.801    -.0178426    .0138836
       _cons |  -.0056381   .0070033    -0.81   0.427    -.0199034    .0086273
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.00
                                                       Prob > F      =  0.9767
                                                       R-squared     =  0.0000
                                                       Root MSE      =  .01352

------------------------------------------------------------------------------
             |               Robust
   regist7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0001367   .0046382    -0.03   0.977    -.0095845    .0093111
       _cons |   .0017009   .0030146     0.56   0.577    -.0044396    .0078414
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.06
                                                       Prob > F      =  0.8010
                                                       R-squared     =  0.0020
                                                       Root MSE      =  .01277

------------------------------------------------------------------------------
             |               Robust
regist_lr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |   .0011135   .0043816     0.25   0.801    -.0078116    .0100387
       _cons |   .0014272   .0025561     0.56   0.580    -.0037794    .0066337
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.76
                                                       Prob > F      =  0.3889
                                                       R-squared     =  0.0233
                                                       Root MSE      =  .00417

------------------------------------------------------------------------------
             |               Robust
regist_hr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0012503   .0014314    -0.87   0.389     -.004166    .0016655
       _cons |   .0002737   .0008529     0.32   0.750    -.0014636    .0020111
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    1.49
                                                       Prob > F      =  0.2305
                                                       R-squared     =  0.0446
                                                       Root MSE      =  .07984

------------------------------------------------------------------------------
             |               Robust
 lnincome7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       early |  -.0334704   .0273844    -1.22   0.231    -.0892505    .0223097
       _cons |   .1379177    .025058     5.50   0.000     .0868762    .1889593
------------------------------------------------------------------------------

. **Column 6;
. egen sare_quarterid=group(sare_quarter);

. replace sare_quarterid=sare_quarterid+1 if sare_quarter>20022;
(33 real changes made)

. replace sare_quarterid=sare_quarterid+1 if sare_quarter>20024;
(32 real changes made)

. foreach var in worker worker_lr worker_hr regist regist_lr regist_hr lnincome{;
  2. reg `var'7_3 sare_quarterid,r;
  3. };

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    1.87
                                                       Prob > F      =  0.1810
                                                       R-squared     =  0.0594
                                                       Root MSE      =  .02327

------------------------------------------------------------------------------
             |               Robust
   worker7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0021801   .0015941     1.37   0.181     -.001067    .0054271
       _cons |  -.0202217   .0121977    -1.66   0.107    -.0450676    .0046242
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.80
                                                       Prob > F      =  0.3777
                                                       R-squared     =  0.0266
                                                       Root MSE      =  .02662

------------------------------------------------------------------------------
             |               Robust
worker_lr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0016424   .0018359     0.89   0.378    -.0020972     .005382
       _cons |   -.009087   .0148406    -0.61   0.545    -.0393164    .0211423
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.15
                                                       Prob > F      =  0.7049
                                                       R-squared     =  0.0040
                                                       Root MSE      =  .02268

------------------------------------------------------------------------------
             |               Robust
worker_hr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0005377   .0014072     0.38   0.705    -.0023286    .0034039
       _cons |  -.0111347   .0092371    -1.21   0.237      -.02995    .0076807
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.47
                                                       Prob > F      =  0.4957
                                                       R-squared     =  0.0097
                                                       Root MSE      =  .01346

------------------------------------------------------------------------------
             |               Robust
   regist7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0004962   .0007201     0.69   0.496    -.0009705     .001963
       _cons |  -.0025271   .0066656    -0.38   0.707    -.0161044    .0110502
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    0.01
                                                       Prob > F      =  0.9340
                                                       R-squared     =  0.0002
                                                       Root MSE      =  .01279

------------------------------------------------------------------------------
             |               Robust
regist_lr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0000649   .0007778     0.08   0.934    -.0015194    .0016493
       _cons |   .0014397   .0074385     0.19   0.848     -.013712    .0165914
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    2.70
                                                       Prob > F      =  0.1103
                                                       R-squared     =  0.0750
                                                       Root MSE      =  .00406

------------------------------------------------------------------------------
             |               Robust
regist_hr7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0004313   .0002627     1.64   0.110    -.0001037    .0009663
       _cons |  -.0039669   .0025202    -1.57   0.125    -.0091003    .0011666
------------------------------------------------------------------------------

Linear regression                                      Number of obs =      34
                                                       F(  1,    32) =    1.57
                                                       Prob > F      =  0.2193
                                                       R-squared     =  0.0353
                                                       Root MSE      =  .08023

------------------------------------------------------------------------------
             |               Robust
 lnincome7_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
sare_quart~d |   .0057212   .0045663     1.25   0.219    -.0035801    .0150224
       _cons |   .0732256   .0307471     2.38   0.023     .0105958    .1358554
------------------------------------------------------------------------------

. * ------- *;
. * Table 2 *;
. * ------- *;
. restore;

. xi i.quarter;
i.quarter         _Iquarter_20002-20044(naturally coded; _Iquarter_20002 omitted)

. foreach x in regist regist_lr regist_hr worker worker_lr worker_hr{;
  2. areg `x' sare female married edad primary secondary highschool university *trend pan aligned _I*,a(code) cluster(code);
  3. };

Linear regression, absorbing indicators                Number of obs = 1636250
                                                       F( 32,    33) = 3815.99
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0569
                                                       Adj R-squared =  0.0569
                                                       Root MSE      =  .27237

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
      regist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |   .0030768   .0015062     2.04   0.049     .0000125    .0061411
      female |   -.082871   .0036208   -22.89   0.000    -.0902376   -.0755043
     married |    .025706   .0013068    19.67   0.000     .0230473    .0283647
        edad |   .0030573   .0001286    23.77   0.000     .0027956    .0033189
     primary |   .0313865    .002303    13.63   0.000     .0267009    .0360721
   secondary |   .0475468   .0031322    15.18   0.000     .0411742    .0539194
  highschool |   .0555993    .003294    16.88   0.000     .0488977     .062301
  university |   .1169887    .006695    17.47   0.000     .1033676    .1306098
act_fijtrend |  -.0000386   .0004082    -0.09   0.925    -.0008692    .0007919
form_captr~d |  -.0001228   .0001792    -0.69   0.498    -.0004874    .0002418
 uni_ectrend |   .0006325   .0004609     1.37   0.179    -.0003053    .0015702
 val_agtrend |    .000096   .0003148     0.30   0.762    -.0005444    .0007364
         pan |  -.0002613   .0028633    -0.09   0.928    -.0060868    .0055642
     aligned |  -.0016528   .0018207    -0.91   0.371    -.0053571    .0020515
_Iquar~20003 |  -.0018427   .0024227    -0.76   0.452    -.0067717    .0030864
_Iquar~20004 |  -.0034139   .0047731    -0.72   0.480    -.0131249    .0062972
_Iquar~20011 |  -.0070674    .006357    -1.11   0.274    -.0200008    .0058661
_Iquar~20012 |  -.0097253   .0080369    -1.21   0.235    -.0260764    .0066258
_Iquar~20013 |  -.0089934   .0102747    -0.88   0.388    -.0298975    .0119107
_Iquar~20014 |  -.0101746    .011763    -0.86   0.393    -.0341066    .0137573
_Iquar~20021 |  -.0122305   .0138238    -0.88   0.383    -.0403553    .0158943
_Iquar~20022 |  -.0136663   .0153993    -0.89   0.381    -.0449964    .0176638
_Iquar~20023 |  -.0160265   .0171096    -0.94   0.356    -.0508362    .0187833
_Iquar~20024 |  -.0187874   .0192043    -0.98   0.335     -.057859    .0202841
_Iquar~20031 |  -.0209269   .0211783    -0.99   0.330    -.0640145    .0221607
_Iquar~20032 |   -.021796   .0229976    -0.95   0.350    -.0685849    .0249929
_Iquar~20033 |  -.0249864   .0245274    -1.02   0.316    -.0748878     .024915
_Iquar~20034 |  -.0284507   .0268499    -1.06   0.297    -.0830772    .0261759
_Iquar~20041 |  -.0314746   .0287481    -1.09   0.282     -.089963    .0270138
_Iquar~20042 |  -.0345616   .0301101    -1.15   0.259     -.095821    .0266978
_Iquar~20043 |  -.0390142   .0319696    -1.22   0.231    -.1040569    .0260285
_Iquar~20044 |  -.0446209   .0339515    -1.31   0.198    -.1136958     .024454
       _cons |  -.0502544   .0070205    -7.16   0.000    -.0645376   -.0359711
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

Linear regression, absorbing indicators                Number of obs = 1636250
                                                       F( 32,    33) = 4243.74
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0472
                                                       Adj R-squared =  0.0472
                                                       Root MSE      =  .25841

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |   .0037044   .0013977     2.65   0.012     .0008607    .0065481
      female |  -.0635626   .0033125   -19.19   0.000     -.070302   -.0568233
     married |   .0203821   .0011462    17.78   0.000     .0180501    .0227141
        edad |   .0026638   .0001141    23.34   0.000     .0024316     .002896
     primary |   .0248678    .002105    11.81   0.000     .0205851    .0291505
   secondary |   .0394936   .0028818    13.70   0.000     .0336305    .0453567
  highschool |   .0478466   .0029786    16.06   0.000     .0417865    .0539066
  university |    .112427   .0062707    17.93   0.000     .0996692    .1251848
act_fijtrend |  -.0000234    .000321    -0.07   0.942    -.0006766    .0006298
form_captr~d |  -.0000684   .0001419    -0.48   0.633    -.0003571    .0002203
 uni_ectrend |    .000618   .0003238     1.91   0.065    -.0000408    .0012769
 val_agtrend |   .0000848    .000248     0.34   0.735    -.0004198    .0005894
         pan |  -.0007006   .0022059    -0.32   0.753    -.0051885    .0037874
     aligned |  -.0018502   .0016449    -1.12   0.269    -.0051968    .0014964
_Iquar~20003 |  -.0021331   .0019399    -1.10   0.279    -.0060799    .0018138
_Iquar~20004 |  -.0041696   .0035431    -1.18   0.248    -.0113781    .0030389
_Iquar~20011 |  -.0076606   .0048806    -1.57   0.126    -.0175903     .002269
_Iquar~20012 |  -.0104605   .0062474    -1.67   0.104    -.0231709      .00225
_Iquar~20013 |  -.0102091   .0080204    -1.27   0.212    -.0265267    .0061084
_Iquar~20014 |   -.012004   .0095082    -1.26   0.216    -.0313487    .0073406
_Iquar~20021 |  -.0142738   .0110812    -1.29   0.207    -.0368188    .0082711
_Iquar~20022 |  -.0156544    .012406    -1.26   0.216    -.0408946    .0095858
_Iquar~20023 |  -.0186781   .0137393    -1.36   0.183    -.0466309    .0092748
_Iquar~20024 |  -.0217583   .0153058    -1.42   0.165    -.0528981    .0093816
_Iquar~20031 |  -.0243315    .016898    -1.44   0.159    -.0587106    .0100477
_Iquar~20032 |  -.0255024   .0183177    -1.39   0.173      -.06277    .0117651
_Iquar~20033 |  -.0293333   .0195114    -1.50   0.142    -.0690296    .0103629
_Iquar~20034 |  -.0329359   .0214481    -1.54   0.134    -.0765724    .0107006
_Iquar~20041 |  -.0365539   .0229311    -1.59   0.120    -.0832076    .0100998
_Iquar~20042 |   -.039241   .0240513    -1.63   0.112    -.0881738    .0096918
_Iquar~20043 |   -.044126   .0255435    -1.73   0.093    -.0960946    .0078427
_Iquar~20044 |  -.0498963   .0270423    -1.85   0.074    -.1049142    .0051217
       _cons |  -.0474301   .0060765    -7.81   0.000    -.0597929   -.0350673
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

Linear regression, absorbing indicators                Number of obs = 1636250
                                                       F( 32,    33) = 1202.03
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0142
                                                       Adj R-squared =  0.0142
                                                       Root MSE      =  .09994

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0006276   .0004515    -1.39   0.174    -.0015461     .000291
      female |  -.0193083   .0017713   -10.90   0.000    -.0229121   -.0157046
     married |   .0053239   .0004768    11.17   0.000     .0043539    .0062939
        edad |   .0003935   .0000297    13.24   0.000     .0003331    .0004539
     primary |   .0065187   .0005994    10.88   0.000     .0052993    .0077381
   secondary |   .0080532   .0008939     9.01   0.000     .0062345    .0098718
  highschool |   .0077528   .0007653    10.13   0.000     .0061958    .0093097
  university |   .0045617    .001136     4.02   0.000     .0022505    .0068729
act_fijtrend |  -.0000152   .0001137    -0.13   0.894    -.0002466    .0002162
form_captr~d |  -.0000544   .0000614    -0.89   0.382    -.0001793    .0000704
 uni_ectrend |   .0000144   .0001758     0.08   0.935    -.0003432     .000372
 val_agtrend |   .0000112   .0000922     0.12   0.904    -.0001764    .0001988
         pan |   .0004393   .0008043     0.55   0.589    -.0011971    .0020756
     aligned |   .0001974   .0004886     0.40   0.689    -.0007966    .0011914
_Iquar~20003 |   .0002904   .0009777     0.30   0.768    -.0016987    .0022795
_Iquar~20004 |   .0007558   .0019146     0.39   0.696    -.0031395     .004651
_Iquar~20011 |   .0005933   .0027194     0.22   0.829    -.0049394    .0061259
_Iquar~20012 |   .0007352   .0036476     0.20   0.842    -.0066859    .0081564
_Iquar~20013 |   .0012157   .0045686     0.27   0.792    -.0080792    .0105107
_Iquar~20014 |   .0018294   .0053441     0.34   0.734    -.0090432     .012702
_Iquar~20021 |   .0020433   .0061272     0.33   0.741    -.0104226    .0145092
_Iquar~20022 |   .0019882   .0069002     0.29   0.775    -.0120504    .0160267
_Iquar~20023 |   .0026516   .0077912     0.34   0.736    -.0131997    .0185029
_Iquar~20024 |   .0029708   .0086109     0.35   0.732    -.0145482    .0204898
_Iquar~20031 |   .0034046   .0094231     0.36   0.720    -.0157668    .0225759
_Iquar~20032 |   .0037064    .010235     0.36   0.720    -.0171168    .0245296
_Iquar~20033 |   .0043469   .0110945     0.39   0.698    -.0182249    .0269187
_Iquar~20034 |   .0044853   .0118748     0.38   0.708    -.0196741    .0286446
_Iquar~20041 |   .0050793   .0128188     0.40   0.694    -.0210007    .0311594
_Iquar~20042 |   .0046794   .0135445     0.35   0.732    -.0228771    .0322359
_Iquar~20043 |   .0051118   .0144818     0.35   0.726    -.0243517    .0345752
_Iquar~20044 |   .0052753   .0153569     0.34   0.733    -.0259686    .0365192
       _cons |  -.0028243   .0016124    -1.75   0.089    -.0061047    .0004561
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

Linear regression, absorbing indicators                Number of obs = 1636250
                                                       F( 32,    33) =41280.00
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1191
                                                       Adj R-squared =  0.1190
                                                       Root MSE      =  .46928

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
      worker |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0002425   .0027222    -0.09   0.930    -.0057809    .0052959
      female |   -.250895   .0093273   -26.90   0.000    -.2698716   -.2319183
     married |  -.0807921   .0074281   -10.88   0.000    -.0959047   -.0656796
        edad |  -.0047254   .0002802   -16.86   0.000    -.0052955   -.0041552
     primary |   .0562556    .003999    14.07   0.000     .0481195    .0643917
   secondary |   .1181815   .0066139    17.87   0.000     .1047255    .1316375
  highschool |   .1005783   .0079574    12.64   0.000     .0843888    .1167679
  university |   .2355662   .0111798    21.07   0.000     .2128206    .2583117
act_fijtrend |  -.0001327   .0011343    -0.12   0.908    -.0024405     .002175
form_captr~d |  -.0003099   .0005962    -0.52   0.607     -.001523    .0009031
 uni_ectrend |  -.0010387   .0007411    -1.40   0.170    -.0025465    .0004691
 val_agtrend |  -.0003981   .0008696    -0.46   0.650    -.0021672     .001371
         pan |   -.000971    .003899    -0.25   0.805    -.0089037    .0069616
     aligned |   .0023344   .0040235     0.58   0.566    -.0058516    .0105203
_Iquar~20003 |   .0124963   .0063521     1.97   0.058    -.0004271    .0254197
_Iquar~20004 |   .0198999   .0131492     1.51   0.140    -.0068523     .046652
_Iquar~20011 |   .0273504   .0188958     1.45   0.157    -.0110934    .0657942
_Iquar~20012 |   .0380001   .0252902     1.50   0.142    -.0134532    .0894534
_Iquar~20013 |    .046635   .0311175     1.50   0.143     -.016674     .109944
_Iquar~20014 |   .0575314   .0376987     1.53   0.137    -.0191671    .1342299
_Iquar~20021 |   .0622723   .0444986     1.40   0.171    -.0282608    .1528054
_Iquar~20022 |   .0753023   .0508668     1.48   0.148    -.0281869    .1787915
_Iquar~20023 |   .0815143   .0576327     1.41   0.167    -.0357403    .1987689
_Iquar~20024 |   .0969464   .0643209     1.51   0.141    -.0339154    .2278083
_Iquar~20031 |    .107552   .0702724     1.53   0.135    -.0354182    .2505223
_Iquar~20032 |    .115023   .0774104     1.49   0.147    -.0424696    .2725155
_Iquar~20033 |   .1284194    .083874     1.53   0.135    -.0422235    .2990623
_Iquar~20034 |   .1425408   .0906895     1.57   0.126    -.0419684    .3270499
_Iquar~20041 |   .1514886   .0974973     1.55   0.130    -.0468711    .3498483
_Iquar~20042 |   .1676265    .104174     1.61   0.117     -.044317    .3795701
_Iquar~20043 |   .1844527   .1101615     1.67   0.104    -.0396725    .4085779
_Iquar~20044 |   .1946016   .1169721     1.66   0.106    -.0433799    .4325831
       _cons |   .7793139   .0232999    33.45   0.000       .73191    .8267178
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

Linear regression, absorbing indicators                Number of obs = 1636250
                                                       F( 32,    33) =28360.62
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0778
                                                       Adj R-squared =  0.0777
                                                       Root MSE      =  .43855

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |   .0065802    .002861     2.30   0.028     .0007594    .0124009
      female |  -.1447084   .0103552   -13.97   0.000    -.1657762   -.1236405
     married |   -.095528   .0059575   -16.03   0.000    -.1076487   -.0834073
        edad |  -.0060633   .0001661   -36.50   0.000    -.0064013   -.0057253
     primary |   .0033973   .0031578     1.08   0.290    -.0030272    .0098218
   secondary |  -.0095754   .0046073    -2.08   0.046     -.018949   -.0002018
  highschool |  -.0892086   .0064014   -13.94   0.000    -.1022323   -.0761849
  university |  -.1395233   .0086619   -16.11   0.000    -.1571461   -.1219006
act_fijtrend |   .0008297   .0013914     0.60   0.555    -.0020012    .0036606
form_captr~d |  -.0004645   .0006611    -0.70   0.487    -.0018095    .0008804
 uni_ectrend |  -.0011058   .0007617    -1.45   0.156    -.0026555     .000444
 val_agtrend |    -.00058   .0007846    -0.74   0.465    -.0021762    .0010162
         pan |   -.001363   .0039241    -0.35   0.731    -.0093465    .0066206
     aligned |  -.0007405   .0044414    -0.17   0.869    -.0097766    .0082956
_Iquar~20003 |   .0072838   .0058444     1.25   0.221    -.0046066    .0191743
_Iquar~20004 |   .0121753   .0115842     1.05   0.301     -.011393    .0357436
_Iquar~20011 |   .0143852   .0177425     0.81   0.423    -.0217121    .0504826
_Iquar~20012 |   .0198427   .0234951     0.84   0.404    -.0279585    .0676438
_Iquar~20013 |   .0250593   .0284282     0.88   0.384    -.0327783    .0828969
_Iquar~20014 |   .0311924   .0349652     0.89   0.379    -.0399449    .1023297
_Iquar~20021 |   .0327779   .0408635     0.80   0.428    -.0503596    .1159154
_Iquar~20022 |    .039526   .0470739     0.84   0.407    -.0562465    .1352984
_Iquar~20023 |   .0446414   .0537555     0.83   0.412    -.0647249    .1540077
_Iquar~20024 |    .050768   .0594026     0.85   0.399    -.0700875    .1716234
_Iquar~20031 |   .0564296   .0653839     0.86   0.394     -.076595    .1894542
_Iquar~20032 |   .0596883   .0715549     0.83   0.410    -.0858911    .2052678
_Iquar~20033 |    .066106   .0772985     0.86   0.399     -.091159    .2233709
_Iquar~20034 |   .0744245   .0836554     0.89   0.380    -.0957737    .2446226
_Iquar~20041 |   .0797179   .0895521     0.89   0.380    -.1024773    .2619131
_Iquar~20042 |   .0869242   .0963998     0.90   0.374    -.1092026    .2830511
_Iquar~20043 |   .0950327   .1022275     0.93   0.359    -.1129507    .3030161
_Iquar~20044 |   .0973622   .1089322     0.89   0.378    -.1242621    .3189865
       _cons |   .7081175   .0154093    45.95   0.000      .676767     .739468
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

Linear regression, absorbing indicators                Number of obs = 1636250
                                                       F( 32,    33) = 3222.57
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1135
                                                       Adj R-squared =  0.1134
                                                       Root MSE      =  .37558

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0068226   .0022053    -3.09   0.004    -.0113094   -.0023359
      female |  -.1061866   .0075422   -14.08   0.000    -.1215312    -.090842
     married |   .0147359    .003391     4.35   0.000     .0078368     .021635
        edad |   .0013379   .0002766     4.84   0.000     .0007752    .0019007
     primary |   .0528583   .0041136    12.85   0.000     .0444891    .0612276
   secondary |   .1277569   .0075258    16.98   0.000     .1124456    .1430682
  highschool |    .189787   .0083452    22.74   0.000     .1728086    .2067654
  university |   .3750895   .0151235    24.80   0.000     .3443204    .4058586
act_fijtrend |  -.0009624   .0011524    -0.84   0.410    -.0033071    .0013823
form_captr~d |   .0001546   .0004449     0.35   0.730    -.0007506    .0010598
 uni_ectrend |   .0000671   .0007381     0.09   0.928    -.0014346    .0015688
 val_agtrend |   .0001819   .0008793     0.21   0.837    -.0016071     .001971
         pan |   .0003919   .0019676     0.20   0.843    -.0036111     .004395
     aligned |   .0030749   .0036828     0.83   0.410    -.0044177    .0105675
_Iquar~20003 |   .0052125   .0045239     1.15   0.258    -.0039914    .0144164
_Iquar~20004 |   .0077245   .0086116     0.90   0.376    -.0097959     .025245
_Iquar~20011 |   .0129652    .012157     1.07   0.294    -.0117684    .0376988
_Iquar~20012 |   .0181575   .0163117     1.11   0.274     -.015029    .0513439
_Iquar~20013 |   .0215757   .0210944     1.02   0.314    -.0213413    .0644926
_Iquar~20014 |    .026339     .02508     1.05   0.301    -.0246867    .0773647
_Iquar~20021 |   .0294944   .0293975     1.00   0.323    -.0303152    .0893041
_Iquar~20022 |   .0357763   .0334604     1.07   0.293    -.0322994    .1038521
_Iquar~20023 |   .0368729    .037915     0.97   0.338    -.0402657    .1140115
_Iquar~20024 |   .0461785   .0416361     1.11   0.275    -.0385308    .1308877
_Iquar~20031 |   .0511224   .0458552     1.11   0.273    -.0421706    .1444155
_Iquar~20032 |   .0553346   .0504886     1.10   0.281    -.0473853    .1580545
_Iquar~20033 |   .0623134   .0542042     1.15   0.259     -.047966    .1725927
_Iquar~20034 |   .0681163   .0583819     1.17   0.252    -.0506626    .1868952
_Iquar~20041 |   .0717707   .0623636     1.15   0.258    -.0551091    .1986504
_Iquar~20042 |   .0807023   .0668252     1.21   0.236    -.0552546    .2166592
_Iquar~20043 |     .08942   .0704178     1.27   0.213    -.0538462    .2326862
_Iquar~20044 |   .0972394   .0743836     1.31   0.200    -.0540952    .2485741
       _cons |   .0711964   .0177875     4.00   0.000     .0350074    .1073854
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

. * ------- *;
. * Table 3 *;
. * ------- *;
. gen sare_proc=sare*proc;
(243773 missing values generated)

. foreach x in regist_lr worker_lr{;
  2. areg `x' sare sare_proc female married edad primary secondary highschool university pan aligned *trend _I*, r a(code) cl
> uster(code);
  3. };

Linear regression, absorbing indicators                Number of obs = 1392477
                                                       F( 26, 26)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.0478
                                                       Adj R-squared =  0.0478
                                                       Root MSE      =  .26058

                                  (Std. Err. adjusted for 27 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |   .0015283   .0019272     0.79   0.435    -.0024331    .0054896
   sare_proc |    .000357   .0001715     2.08   0.047     4.48e-06    .0007096
      female |  -.0645919   .0038087   -16.96   0.000    -.0724209   -.0567629
     married |   .0198081   .0013211    14.99   0.000     .0170926    .0225235
        edad |   .0027092   .0001293    20.94   0.000     .0024433    .0029751
     primary |   .0263285   .0023903    11.01   0.000     .0214152    .0312418
   secondary |   .0407111     .00333    12.23   0.000     .0338662     .047556
  highschool |   .0489647    .003409    14.36   0.000     .0419573    .0559721
  university |   .1146909   .0072472    15.83   0.000     .0997941    .1295878
         pan |  -.0022762   .0026712    -0.85   0.402     -.007767    .0032145
     aligned |   .0001676   .0017753     0.09   0.926    -.0034817    .0038168
act_fijtrend |  -.0000643   .0004245    -0.15   0.881    -.0009369    .0008082
form_captr~d |  -.0000949    .000172    -0.55   0.586    -.0004484    .0002586
 uni_ectrend |   .0005957   .0003473     1.72   0.098    -.0001182    .0013095
 val_agtrend |   .0002115   .0003014     0.70   0.489    -.0004081    .0008311
_Iquar~20003 |  -.0028495   .0024125    -1.18   0.248    -.0078084    .0021094
_Iquar~20004 |  -.0061212   .0047448    -1.29   0.208    -.0158743    .0036318
_Iquar~20011 |  -.0108076   .0065239    -1.66   0.110    -.0242176    .0026024
_Iquar~20012 |  -.0138368   .0083093    -1.67   0.108    -.0309168    .0032433
_Iquar~20013 |  -.0143571   .0106644    -1.35   0.190     -.036278    .0075638
_Iquar~20014 |  -.0163171   .0125133    -1.30   0.204    -.0420384    .0094043
_Iquar~20021 |  -.0186975    .014926    -1.25   0.221    -.0493782    .0119833
_Iquar~20022 |  -.0215697   .0165786    -1.30   0.205    -.0556474     .012508
_Iquar~20023 |  -.0246724   .0182915    -1.35   0.189    -.0622711    .0129263
_Iquar~20024 |  -.0287768   .0203859    -1.41   0.170    -.0706806    .0131269
_Iquar~20031 |  -.0319178   .0225054    -1.42   0.168    -.0781782    .0143426
_Iquar~20032 |  -.0330744   .0244023    -1.36   0.187    -.0832341    .0170852
_Iquar~20033 |  -.0378935   .0259231    -1.46   0.156    -.0911793    .0153923
_Iquar~20034 |  -.0419573   .0285464    -1.47   0.154    -.1006353    .0167208
_Iquar~20041 |  -.0462262   .0305259    -1.51   0.142    -.1089731    .0165208
_Iquar~20042 |  -.0481838   .0321496    -1.50   0.146    -.1142683    .0179006
_Iquar~20043 |    -.05328   .0338709    -1.57   0.128    -.1229026    .0163425
_Iquar~20044 |  -.0596261   .0359015    -1.66   0.109    -.1334226    .0141704
       _cons |  -.0475378   .0071925    -6.61   0.000    -.0623222   -.0327534
-------------+----------------------------------------------------------------
        code |   absorbed                                      (27 categories)

Linear regression, absorbing indicators                Number of obs = 1392477
                                                       F( 26, 26)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.0763
                                                       Adj R-squared =  0.0763
                                                       Root MSE      =  .43686

                                  (Std. Err. adjusted for 27 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0015257   .0036386    -0.42   0.678    -.0090049    .0059536
   sare_proc |   .0011224   .0003245     3.46   0.002     .0004554    .0017894
      female |  -.1411482   .0120846   -11.68   0.000    -.1659884   -.1163079
     married |  -.0960052   .0070161   -13.68   0.000    -.1104271   -.0815833
        edad |  -.0059101   .0001687   -35.03   0.000    -.0062569   -.0055634
     primary |   .0038987   .0037391     1.04   0.307    -.0037872    .0115846
   secondary |  -.0112641   .0053391    -2.11   0.045    -.0222388   -.0002893
  highschool |  -.0910742   .0074996   -12.14   0.000    -.1064899   -.0756585
  university |  -.1425327   .0099228   -14.36   0.000    -.1629293   -.1221362
         pan |  -.0088671   .0047583    -1.86   0.074     -.018648    .0009137
     aligned |  -.0020341   .0047856    -0.43   0.674    -.0118712    .0078029
act_fijtrend |   .0020438   .0014254     1.43   0.164    -.0008862    .0049738
form_captr~d |  -.0010193   .0006854    -1.49   0.149    -.0024283    .0003896
 uni_ectrend |   -.001789   .0010966    -1.63   0.115    -.0040432    .0004652
 val_agtrend |  -.0010388   .0008168    -1.27   0.215    -.0027177    .0006402
_Iquar~20003 |   .0067346   .0059569     1.13   0.269    -.0055101    .0189792
_Iquar~20004 |   .0098756   .0115928     0.85   0.402    -.0139537    .0337049
_Iquar~20011 |   .0116342    .017633     0.66   0.515    -.0246109    .0478794
_Iquar~20012 |   .0165165   .0237107     0.70   0.492    -.0322215    .0652545
_Iquar~20013 |   .0205123   .0284863     0.72   0.478    -.0380421    .0790666
_Iquar~20014 |   .0245827    .035073     0.70   0.490    -.0475108    .0966762
_Iquar~20021 |   .0258766     .04124     0.63   0.536    -.0588935    .1106466
_Iquar~20022 |   .0302541   .0474705     0.64   0.529    -.0673229    .1278312
_Iquar~20023 |   .0335453   .0539477     0.62   0.539    -.0773457    .1444363
_Iquar~20024 |   .0389006   .0591796     0.66   0.517    -.0827448    .1605461
_Iquar~20031 |   .0433331   .0655534     0.66   0.514    -.0914139    .1780801
_Iquar~20032 |    .046263    .071536     0.65   0.523    -.1007813    .1933072
_Iquar~20033 |   .0521188   .0769245     0.68   0.504    -.1060018    .2102395
_Iquar~20034 |   .0588747   .0835531     0.70   0.487    -.1128712    .2306206
_Iquar~20041 |   .0646159   .0893951     0.72   0.476    -.1191384    .2483703
_Iquar~20042 |   .0705707   .0961648     0.73   0.470    -.1270989    .2682403
_Iquar~20043 |   .0781234   .1011105     0.77   0.447    -.1297122     .285959
_Iquar~20044 |   .0810975   .1075954     0.75   0.458     -.140068     .302263
       _cons |   .7023122    .016937    41.47   0.000     .6674976    .7371267
-------------+----------------------------------------------------------------
        code |   absorbed                                      (27 categories)

. * ------- *;
. * Table 4 *;
. * ------- *;
. preserve;

. gen nonregist=own-regist;

. gen notempl=1-empl;

. drop own empl;

. sort id quarter;

. by id: egen minquarter=min(quarter);

. gen first_quarter=1 if quarter==minquarter;
(1162351 missing values generated)

. drop minquarter;

. foreach var in regist nonregist worker notempl{;
  2. gen p`var'=`var' if first_quarter==1 & sare==0;
  3. sort id p`var';
  4. by id: replace p`var'=p`var'[_n-1] if p`var'==.;
  5. };
(1224105 missing values generated)
(1051295 real changes made)
(1224105 missing values generated)
(1051295 real changes made)
(1224105 missing values generated)
(1051295 real changes made)
(1224105 missing values generated)
(1051295 real changes made)

. drop if first_quarter==1;
(473899 observations deleted)

. drop if pregist==.;
(111056 observations deleted)

. foreach y in regist nonregist worker notempl{;
  2. gen sarep`y'=sare*p`y';
  3. };

. gen group=1 if pregist==1;
(958992 missing values generated)

. replace group=2 if pnonregist==1;
(85691 real changes made)

. replace group=3 if pworker==1;
(520828 real changes made)

. replace group=4 if pnotempl==1;
(352473 real changes made)

. xi i.quarter*i.group;
i.quarter         _Iquarter_20003-20044(naturally coded; _Iquarter_20003 omitted)
i.group           _Igroup_1-4         (naturally coded; _Igroup_1 omitted)
i.qua~r*i.group   _IquaXgro_#_#       (coded as above)

. xi i.code*i.group, pre(_A);
i.code            _Acode_1001-31050   (naturally coded; _Acode_1001 omitted)
i.group           _Agroup_1-4         (naturally coded; _Agroup_1 omitted)
i.code*i.group    _AcodXgro_#_#       (coded as above)

. drop _Agroup*;

. foreach var in female married edad primary secondary highschool university pan aligned act_fijtrend form_captrend uni_ectre
> nd val_agtrend{;
  2. gen `var'_nonregist=`var'*pnonregist;
  3. gen `var'_worker_lr=`var'*pworker;
  4. gen `var'_notempl=`var'*pnotempl;
  5. };

. **Columns 1 - 3;
. foreach x in regist_lr worker_lr worker_hr{;
  2. reg `x' sarep* female* married* edad* primary* secondary* highschool* university* pan* aligned* *trend* _I* _A*, cluster
> (code);
  3. };

Linear regression                                      Number of obs = 1051295
                                                       F( 32,    33) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.3522
                                                       Root MSE      =  .21427

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 sarepregist |   .0020584   .0081513     0.25   0.802    -.0145256    .0186424
sarepnonre~t |   .0004536   .0063725     0.07   0.944    -.0125114    .0134186
 sarepworker |   .0024868   .0014646     1.70   0.099     -.000493    .0054666
sarepnotempl |  -.0004264   .0016469    -0.26   0.797     -.003777    .0029243
      female |   -.002248   .0108168    -0.21   0.837     -.024255     .019759
female_non~t |  -.0372186   .0111346    -3.34   0.002    -.0598721    -.014565
female_wor~r |  -.0077902   .0105125    -0.74   0.464    -.0291781    .0135977
female_not~l |  -.0160051   .0101099    -1.58   0.123    -.0365738    .0045636
     married |   .0097276   .0077529     1.25   0.218    -.0060458    .0255011
married_no~t |    .013031   .0091919     1.42   0.166    -.0056701    .0317322
married_wo~r |  -.0057306   .0082023    -0.70   0.490    -.0224184    .0109572
married_no~l |  -.0034757   .0077625    -0.45   0.657    -.0192687    .0123173
        edad |   .0036447    .000303    12.03   0.000     .0030283    .0042611
edad_nonre~t |  -.0020446   .0002917    -7.01   0.000     -.002638   -.0014513
edad_worke~r |  -.0029953   .0003239    -9.25   0.000    -.0036542   -.0023364
edad_notempl |  -.0031969   .0003168   -10.09   0.000    -.0038413   -.0025524
     primary |   .0135844   .0073844     1.84   0.075    -.0014392    .0286081
primary_no~t |   .0140508   .0085565     1.64   0.110    -.0033575    .0314591
primary_wo~r |  -.0091679   .0078297    -1.17   0.250    -.0250974    .0067617
primary_no~l |  -.0082309   .0077599    -1.06   0.297    -.0240185    .0075567
   secondary |   .0495861   .0086723     5.72   0.000     .0319421    .0672301
secondary_~t |   .0067442   .0104493     0.65   0.523     -.014515    .0280034
secondary_~r |  -.0406236   .0094126    -4.32   0.000    -.0597738   -.0214734
secondary_~l |  -.0409825   .0088384    -4.64   0.000    -.0589643   -.0230006
  highschool |    .065903   .0079617     8.28   0.000     .0497047    .0821012
highschool~t |   .0217476   .0109745     1.98   0.056    -.0005801    .0440753
highschool~r |  -.0559432   .0087485    -6.39   0.000    -.0737422   -.0381441
highschool~l |   -.056251   .0083504    -6.74   0.000      -.07324    -.039262
  university |   .1763319   .0139108    12.68   0.000     .1480302    .2046335
university~t |   .0407646   .0210051     1.94   0.061    -.0019705    .0834998
university~r |  -.1476343   .0148605    -9.93   0.000    -.1778682   -.1174005
university~l |  -.1309266   .0144245    -9.08   0.000    -.1602736   -.1015797
         pan |  -.0051887   .0092986    -0.56   0.581    -.0241069    .0137294
pan_nonreg~t |   -.005133   .0088887    -0.58   0.568    -.0232171    .0129511
pan_worker~r |   .0056905   .0092279     0.62   0.542    -.0130839    .0244649
 pan_notempl |   .0055984   .0097979     0.57   0.572    -.0143355    .0255324
     aligned |  -.0038311   .0075792    -0.51   0.617    -.0192511    .0115889
aligned_no~t |  -.0089948   .0116105    -0.77   0.444    -.0326165    .0146269
aligned_wo~r |   .0037931   .0083037     0.46   0.651    -.0131008     .020687
aligned_no~l |   .0012479   .0078221     0.16   0.874    -.0146663     .017162
act_fijtrend |   .0016145   .0019621     0.82   0.416    -.0023773    .0056064
form_captr~d |  -.0000687   .0012986    -0.05   0.958    -.0027107    .0025734
 uni_ectrend |   .0018141   .0018508     0.98   0.334    -.0019514    .0055797
 val_agtrend |  -.0010677    .002119    -0.50   0.618    -.0053789    .0032435
act_fijtre~t |  -.0021501   .0027395    -0.78   0.438    -.0077236    .0034233
act_fijtre~r |  -.0012954   .0020462    -0.63   0.531    -.0054584    .0028676
act_fijtre~l |  -.0020734   .0019939    -1.04   0.306    -.0061301    .0019832
form_captr~t |   .0015021    .001684     0.89   0.379     -.001924    .0049283
form_captr~r |  -.0001264   .0013274    -0.10   0.925    -.0028271    .0025743
form_captr~l |   .0001478   .0013042     0.11   0.910    -.0025057    .0028012
uni_ectren~t |  -.0026327   .0022257    -1.18   0.245    -.0071609    .0018956
uni_ectren~r |  -.0017247   .0018883    -0.91   0.368    -.0055665     .002117
uni_ectren~l |  -.0015089   .0018826    -0.80   0.429    -.0053391    .0023212
val_agtren~t |   .0008964   .0027126     0.33   0.743    -.0046225    .0064153
val_agtren~r |   .0005408   .0021797     0.25   0.806    -.0038937    .0049754
val_agtren~l |   .0016247   .0020763     0.78   0.439    -.0025995    .0058489
_Iquar~20004 |  -.0124308   .0155697    -0.80   0.430    -.0441076    .0192461
_Iquar~20011 |   -.035594   .0303391    -1.17   0.249    -.0973193    .0261312
_Iquar~20012 |  -.0649719   .0448078    -1.45   0.156     -.156134    .0261902
_Iquar~20013 |   -.051169   .0586538    -0.87   0.389    -.1705011     .068163
_Iquar~20014 |  -.0721767    .075005    -0.96   0.343    -.2247755    .0804221
_Iquar~20021 |  -.0841526   .0885367    -0.95   0.349    -.2642819    .0959767
_Iquar~20022 |  -.0912182   .1001238    -0.91   0.369    -.2949217    .1124853
_Iquar~20023 |  -.1169537   .1148595    -1.02   0.316    -.3506371    .1167298
_Iquar~20024 |  -.1324368   .1304094    -1.02   0.317    -.3977566    .1328831
_Iquar~20031 |  -.1393487    .144716    -0.96   0.343    -.4337757    .1550783
_Iquar~20032 |  -.1415569   .1591663    -0.89   0.380    -.4653832    .1822694
_Iquar~20033 |  -.1569689   .1768062    -0.89   0.381    -.5166839    .2027461
_Iquar~20034 |  -.1716177    .190221    -0.90   0.373    -.5586251    .2153898
_Iquar~20041 |  -.1786135   .2019432    -0.88   0.383      -.58947    .2322429
_Iquar~20042 |  -.2031174   .2153112    -0.94   0.352    -.6411713    .2349366
_Iquar~20043 |  -.1933789   .2321496    -0.83   0.411    -.6656908     .278933
_Iquar~20044 |  -.2317882   .2427454    -0.95   0.347    -.7256574    .2620809
   _Igroup_2 |  -.3529592   .0477526    -7.39   0.000    -.4501126   -.2558057
   _Igroup_3 |  -.3862678   .0359052   -10.76   0.000    -.4593175    -.313218
   _Igroup_4 |  -.3844898   .0332939   -11.55   0.000    -.4522267    -.316753
_IquaXg~04_2 |    .014636   .0194283     0.75   0.457    -.0248912    .0541633
_IquaXg~04_3 |   .0165296    .016013     1.03   0.309    -.0160492    .0491084
_IquaXg~04_4 |   .0100664   .0153835     0.65   0.517    -.0212315    .0413643
_IquaXg~11_2 |   .0352716   .0371299     0.95   0.349    -.0402698     .110813
_IquaXg~11_3 |   .0411452   .0315259     1.31   0.201    -.0229946    .1052851
_IquaXg~11_4 |   .0323179   .0296957     1.09   0.284    -.0280985    .0927343
_IquaXg~12_2 |   .0658179   .0580642     1.13   0.265    -.0523147    .1839505
_IquaXg~12_3 |   .0748431   .0465012     1.61   0.117    -.0197644    .1694505
_IquaXg~12_4 |   .0601471   .0435779     1.38   0.177    -.0285129    .1488071
_IquaXg~13_2 |   .0526776   .0780267     0.68   0.504     -.106069    .2114241
_IquaXg~13_3 |   .0646262   .0610937     1.06   0.298    -.0596699    .1889224
_IquaXg~13_4 |   .0438309   .0570315     0.77   0.448    -.0722006    .1598624
_IquaXg~14_2 |   .0651825   .0975192     0.67   0.509    -.1332219    .2635869
_IquaXg~14_3 |    .089699   .0780226     1.15   0.259    -.0690391    .2484372
_IquaXg~14_4 |   .0620838   .0725806     0.86   0.399    -.0855826    .2097501
_IquaXg~21_2 |   .0796742   .1161105     0.69   0.497    -.1565543    .3159027
_IquaXg~21_3 |   .1058398   .0923975     1.15   0.260    -.0821444     .293824
_IquaXg~21_4 |   .0707257   .0858996     0.82   0.416    -.1040384    .2454897
_IquaXg~22_2 |    .087696   .1324347     0.66   0.512    -.1817444    .3571364
_IquaXg~22_3 |   .1161434   .1048206     1.11   0.276    -.0971157    .3294025
_IquaXg~22_4 |   .0760007   .0972497     0.78   0.440    -.1218553    .2738568
_IquaXg~23_2 |   .1106247   .1506641     0.73   0.468    -.1959037    .4171531
_IquaXg~23_3 |   .1446273   .1204037     1.20   0.238    -.1003359    .3895905
_IquaXg~23_4 |   .0987424   .1112695     0.89   0.381    -.1276371    .3251219
_IquaXg~24_2 |   .1240518   .1703867     0.73   0.472    -.2226026    .4707062
_IquaXg~24_3 |   .1638564   .1364983     1.20   0.239    -.1138515    .4415644
_IquaXg~24_4 |   .1131538   .1265532     0.89   0.378    -.1443206    .3706283
_IquaXg~31_2 |   .1307247   .1879675     0.70   0.492    -.2516981    .5131475
_IquaXg~31_3 |   .1712672    .151226     1.13   0.266    -.1364045    .4789389
_IquaXg~31_4 |    .117932   .1406506     0.84   0.408    -.1682238    .4040879
_IquaXg~32_2 |   .1403585   .2089378     0.67   0.506    -.2847287    .5654457
_IquaXg~32_3 |     .17723     .16637     1.07   0.294    -.1612523    .5157122
_IquaXg~32_4 |   .1173661   .1548334     0.76   0.454    -.1976448    .4323771
_IquaXg~33_2 |   .1539916   .2319368     0.66   0.511    -.3178874    .6258706
_IquaXg~33_3 |   .1947893   .1849424     1.05   0.300    -.1814788    .5710574
_IquaXg~33_4 |   .1302088   .1716287     0.76   0.453    -.2189723      .47939
_IquaXg~34_2 |   .1634415   .2510941     0.65   0.520    -.3474133    .6742964
_IquaXg~34_3 |   .2133313   .1986766     1.07   0.291    -.1908792    .6175418
_IquaXg~34_4 |   .1412483    .185552     0.76   0.452    -.2362601    .5187568
_IquaXg~41_2 |   .1753528   .2672978     0.66   0.516    -.3684686    .7191742
_IquaXg~41_3 |   .2203917   .2111801     1.04   0.304    -.2092574    .6500408
_IquaXg~41_4 |   .1450631   .1961506     0.74   0.465    -.2540082    .5441344
_IquaXg~42_2 |   .1935741    .287532     0.67   0.505    -.3914142    .7785623
_IquaXg~42_3 |   .2479244   .2261471     1.10   0.281    -.2121753    .7080242
_IquaXg~42_4 |   .1703317    .208563     0.82   0.420    -.2539929    .5946563
_IquaXg~43_2 |   .1865059   .3073405     0.61   0.548    -.4387831     .811795
_IquaXg~43_3 |   .2396451   .2432063     0.99   0.332    -.2551618     .734452
_IquaXg~43_4 |   .1560923   .2252697     0.69   0.493    -.3022223    .6144069
_IquaXg~44_2 |   .2097635   .3242319     0.65   0.522    -.4498913    .8694184
_IquaXg~44_3 |   .2812591   .2542188     1.11   0.277     -.235953    .7984712
_IquaXg~44_4 |   .1937517   .2355921     0.82   0.417    -.2855639    .6730674
 _Acode_2001 |  -.0908725   .0175456    -5.18   0.000    -.1265694   -.0551756
 _Acode_2002 |  -.1085122    .009468   -11.46   0.000    -.1277749   -.0892495
 _Acode_3008 |  -.1329044   .0146044    -9.10   0.000    -.1626174   -.1031915
 _Acode_4002 |   -.030086   .0180484    -1.67   0.105    -.0668057    .0066338
 _Acode_5035 |  -.1527346   .0126329   -12.09   0.000    -.1784365   -.1270326
 _Acode_7089 |   .0042887    .014907     0.29   0.775    -.0260398    .0346172
_Acode_11007 |  -.0560029   .0047441   -11.80   0.000    -.0656548    -.046351
_Acode_11017 |  -.0334329   .0092075    -3.63   0.001    -.0521657   -.0147002
_Acode_11020 |  -.0250648   .0063078    -3.97   0.000    -.0378981   -.0122315
_Acode_11023 |   .1082335   .0220461     4.91   0.000     .0633804    .1530866
_Acode_11027 |  -.0242631   .0195038    -1.24   0.222     -.063944    .0154178
_Acode_11028 |   .0208479   .0246769     0.84   0.404    -.0293577    .0710535
_Acode_11035 |  -.0588422   .0254619    -2.31   0.027    -.1106448   -.0070397
_Acode_13048 |  -.0412483   .0117629    -3.51   0.001    -.0651801   -.0173165
_Acode_14039 |  -.0226133   .0047487    -4.76   0.000    -.0322746   -.0129521
_Acode_14098 |  -.0510798   .0119318    -4.28   0.000    -.0753552   -.0268044
_Acode_14120 |  -.0499785   .0064459    -7.75   0.000    -.0630928   -.0368642
_Acode_15104 |  -.0989161   .0160614    -6.16   0.000    -.1315932    -.066239
_Acode_16053 |  -.0565741   .0144259    -3.92   0.000    -.0859238   -.0272245
_Acode_16102 |  -.0438862   .0131498    -3.34   0.002    -.0706397   -.0171327
_Acode_20067 |  -.0365678   .0156341    -2.34   0.026    -.0683757     -.00476
_Acode_21114 |  -.1082149   .0109009    -9.93   0.000     -.130393   -.0860367
_Acode_21156 |  -.1318879   .0114562   -11.51   0.000    -.1551958   -.1085801
_Acode_22014 |  -.0690055   .0094615    -7.29   0.000    -.0882552   -.0497559
_Acode_23004 |  -.0902519   .0207028    -4.36   0.000     -.132372   -.0481317
_Acode_24028 |  -.0186976   .0130466    -1.43   0.161     -.045241    .0078459
_Acode_25006 |  -.0342574   .0160084    -2.14   0.040    -.0668267   -.0016881
_Acode_25012 |  -.1065113   .0122496    -8.70   0.000    -.1314332   -.0815893
_Acode_25018 |  -.1025815    .029355    -3.49   0.001    -.1623047   -.0428583
_Acode_29005 |  -.0578104   .0175647    -3.29   0.002     -.093546   -.0220748
_Acode_30028 |   -.068987   .0188694    -3.66   0.001    -.1073772   -.0305969
_Acode_30044 |  -.0619029   .0097482    -6.35   0.000    -.0817357     -.04207
_Acode_31050 |  -.0116245   .0051392    -2.26   0.030    -.0220802   -.0011687
_AcodXgr~1_2 |   .0946034   .0207764     4.55   0.000     .0523335    .1368732
_AcodXgr~1_3 |   .0888927   .0176885     5.03   0.000     .0529052    .1248803
_AcodXgr~1_4 |   .0915376   .0179923     5.09   0.000      .054932    .1281432
_Acod~2002_2 |   .0765721   .0125855     6.08   0.000     .0509667    .1021774
_Acod~2002_3 |   .1062847   .0100891    10.53   0.000     .0857582    .1268112
_Acod~2002_4 |   .0977877   .0094454    10.35   0.000     .0785708    .1170046
_AcodXg~08_2 |     .13527   .0187975     7.20   0.000     .0970262    .1735138
_AcodXg~08_3 |   .1349918   .0139711     9.66   0.000     .1065673    .1634163
_AcodXg~08_4 |   .1352904   .0153814     8.80   0.000     .1039968     .166584
_Acod~4002_2 |  -.0350743   .0199909    -1.75   0.089    -.0757461    .0055976
_Acod~4002_3 |   .0174806   .0183794     0.95   0.348    -.0199126    .0548737
_Acod~4002_4 |    .024074   .0181627     1.33   0.194    -.0128784    .0610264
_Acod~5035_2 |   .0905065   .0169236     5.35   0.000     .0560752    .1249378
_Acod~5035_3 |   .1472413   .0132037    11.15   0.000     .1203781    .1741044
_Acod~5035_4 |   .1416736   .0128231    11.05   0.000     .1155848    .1677624
_AcodXg~89_2 |  -.0709336   .0183439    -3.87   0.000    -.1082547   -.0336126
_AcodXg~89_3 |  -.0156719   .0163029    -0.96   0.343    -.0488405    .0174966
_AcodXg~89_4 |  -.0089246   .0146812    -0.61   0.547    -.0387936    .0209444
_AcodXg~07_2 |   .0397639   .0058385     6.81   0.000     .0278854    .0516423
_AcodXg~07_3 |    .060896   .0049238    12.37   0.000     .0508785    .0709135
_AcodXg~07_4 |   .0507825   .0045797    11.09   0.000      .041465    .0601001
_AcodXg~17_2 |   .0038141   .0146409     0.26   0.796    -.0259731    .0336013
_AcodXg~17_3 |   .0339987   .0101904     3.34   0.002     .0132662    .0547312
_AcodXg~17_4 |   .0284846   .0091294     3.12   0.004     .0099106    .0470586
_AcodX~020_2 |   .0717804   .0078083     9.19   0.000     .0558943    .0876664
_AcodX~020_3 |   .0327181   .0064519     5.07   0.000     .0195917    .0458445
_AcodX~020_4 |   .0279192   .0062206     4.49   0.000     .0152632    .0405751
_AcodXg~23_2 |  -.1774391   .0332884    -5.33   0.000    -.2451648   -.1097134
_AcodXg~23_3 |  -.1120287   .0244068    -4.59   0.000    -.1616848   -.0623727
_AcodXg~23_4 |  -.1108213   .0212749    -5.21   0.000    -.1541053   -.0675372
_AcodXg~27_2 |  -.0142308   .0260438    -0.55   0.588    -.0672172    .0387557
_AcodXg~27_3 |   .0177593    .019157     0.93   0.361     -.021216    .0567346
_AcodXg~27_4 |   .0182715   .0186965     0.98   0.336    -.0197669    .0563099
_Acod~1028_2 |  -.0106702   .0326703    -0.33   0.746    -.0771384     .055798
_Acod~1028_3 |  -.0260095   .0256774    -1.01   0.318    -.0782507    .0262316
_Acod~1028_4 |  -.0246585   .0242755    -1.02   0.317    -.0740473    .0247302
_Acod~1035_2 |  -.0097055   .0306908    -0.32   0.754    -.0721464    .0527353
_Acod~1035_3 |   .0456848    .026889     1.70   0.099    -.0090212    .1003908
_Acod~1035_4 |   .0474643   .0249569     1.90   0.066    -.0033109    .0982395
_AcodXg~48_2 |   .0230614   .0137719     1.67   0.103    -.0049577    .0510806
_AcodXg~48_3 |   .0445723   .0125358     3.56   0.001      .019068    .0700766
_AcodXg~48_4 |   .0418546    .011755     3.56   0.001     .0179389    .0657702
_AcodXg~39_2 |   .0366347   .0070543     5.19   0.000     .0222825    .0509869
_AcodXg~39_3 |   .0242172   .0048709     4.97   0.000     .0143072    .0341272
_AcodXg~39_4 |    .022246   .0044397     5.01   0.000     .0132133    .0312787
_AcodXg~98_2 |   .0299735   .0131058     2.29   0.029     .0033096    .0566375
_AcodXg~98_3 |   .0485412   .0122182     3.97   0.000      .023683    .0733993
_AcodXg~98_4 |   .0461047   .0120249     3.83   0.001     .0216399    .0705694
_AcodX~120_2 |   .0310035   .0089663     3.46   0.002     .0127614    .0492455
_AcodX~120_3 |   .0539191   .0068691     7.85   0.000     .0399438    .0678945
_AcodX~120_4 |   .0443054   .0065044     6.81   0.000     .0310722    .0575387
_AcodX~104_2 |   .0898909   .0213412     4.21   0.000     .0464718      .13331
_AcodX~104_3 |   .1048587   .0171694     6.11   0.000     .0699273    .1397901
_AcodX~104_4 |   .0868798   .0156667     5.55   0.000     .0550056    .1187539
_AcodXg~53_2 |   .0183641   .0155742     1.18   0.247    -.0133218    .0500499
_AcodXg~53_3 |   .0530219   .0146398     3.62   0.001     .0232371    .0828067
_AcodXg~53_4 |   .0513646   .0147902     3.47   0.001     .0212737    .0814554
_AcodX~102_2 |   .0221429   .0176864     1.25   0.219    -.0138403    .0581262
_AcodX~102_3 |   .0458683   .0140195     3.27   0.003     .0173454    .0743911
_AcodX~102_4 |    .044375   .0133038     3.34   0.002     .0173082    .0714418
_AcodXg~67_2 |   .0214734   .0189049     1.14   0.264    -.0169888    .0599357
_AcodXg~67_3 |   .0439753   .0164351     2.68   0.012     .0105379    .0774127
_AcodXg~67_4 |   .0384041   .0156704     2.45   0.020     .0065223    .0702858
_AcodX~114_2 |   .0476613   .0142321     3.35   0.002     .0187058    .0766167
_AcodX~114_3 |   .1015967   .0116753     8.70   0.000     .0778431    .1253502
_AcodX~114_4 |   .0969846    .011046     8.78   0.000     .0745112    .1194579
_AcodXg~56_2 |   .0589963    .014628     4.03   0.000     .0292355    .0887572
_AcodXg~56_3 |   .1310269   .0127887    10.25   0.000     .1050081    .1570456
_AcodXg~56_4 |   .1242505   .0112721    11.02   0.000     .1013172    .1471838
_AcodX~014_2 |   .0672136   .0122755     5.48   0.000     .0422389    .0921883
_AcodX~014_3 |   .0742463   .0098465     7.54   0.000     .0542134    .0942793
_AcodX~014_4 |   .0700827   .0088718     7.90   0.000      .052033    .0881324
_AcodX~004_2 |   .0292303   .0217378     1.34   0.188    -.0149957    .0734562
_AcodX~004_3 |   .0850489   .0207642     4.10   0.000     .0428039     .127294
_AcodX~004_4 |   .0902316   .0207599     4.35   0.000     .0479953     .132468
_Acod~4028_2 |  -.0167011    .018145    -0.92   0.364    -.0536175    .0202153
_Acod~4028_3 |   .0159072   .0136483     1.17   0.252    -.0118605    .0436748
_Acod~4028_4 |   .0131604   .0132549     0.99   0.328     -.013807    .0401278
_AcodXg~06_2 |  -.0178746   .0168655    -1.06   0.297    -.0521876    .0164385
_AcodXg~06_3 |   .0289529   .0164811     1.76   0.088    -.0045782    .0624841
_AcodXg~06_4 |   .0265789   .0159734     1.66   0.106    -.0059192    .0590769
_AcodXg~12_2 |   .0450035   .0144701     3.11   0.004     .0155639     .074443
_AcodXg~12_3 |   .1050682   .0123155     8.53   0.000     .0800122    .1301243
_AcodXg~12_4 |   .1065356   .0124476     8.56   0.000     .0812108    .1318604
_AcodXg~18_2 |   .0988306   .0341908     2.89   0.007     .0292689    .1683923
_AcodXg~18_3 |     .08672   .0303274     2.86   0.007     .0250184    .1484216
_AcodXg~18_4 |   .0953851   .0290735     3.28   0.002     .0362345    .1545356
_AcodXg~05_2 |   .0177745    .021721     0.82   0.419    -.0264172    .0619663
_AcodXg~05_3 |   .0626331   .0185213     3.38   0.002     .0249513     .100315
_AcodXg~05_4 |   .0518216   .0173837     2.98   0.005     .0164542     .087189
_Acod~0028_2 |   .0169774   .0249985     0.68   0.502    -.0338825    .0678372
_Acod~0028_3 |   .0588985   .0188919     3.12   0.004     .0204627    .0973344
_Acod~0028_4 |   .0621761   .0193259     3.22   0.003     .0228572    .1014951
_AcodXg~44_2 |   .0013032   .0120742     0.11   0.915    -.0232619    .0258682
_AcodXg~44_3 |   .0573611   .0107544     5.33   0.000     .0354811    .0792411
_AcodXg~44_4 |    .052268   .0096036     5.44   0.000     .0327292    .0718067
_AcodXg~50_2 |  -.0500807   .0064575    -7.76   0.000    -.0632185   -.0369429
_AcodXg~50_3 |   .0059371   .0055224     1.08   0.290    -.0052983    .0171726
_AcodXg~50_4 |   .0024607   .0052424     0.47   0.642    -.0082051    .0131265
       _cons |   .3846862   .0335703    11.46   0.000     .3163869    .4529854
------------------------------------------------------------------------------

Linear regression                                      Number of obs = 1051295
                                                       F( 33,    33) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2109
                                                       Root MSE      =  .40353

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 sarepregist |    .007521   .0057813     1.30   0.202    -.0042412    .0192832
sarepnonre~t |   .0020826   .0081709     0.25   0.800    -.0145413    .0187065
 sarepworker |   .0083031   .0042954     1.93   0.062    -.0004358    .0170421
sarepnotempl |   .0095111    .002755     3.45   0.002      .003906    .0151162
      female |   .0157479   .0068651     2.29   0.028     .0017807    .0297151
female_non~t |  -.0725159     .00823    -8.81   0.000    -.0892599   -.0557719
female_wor~r |  -.0436799   .0085377    -5.12   0.000    -.0610499   -.0263099
female_not~l |   -.094068   .0081545   -11.54   0.000    -.1106584   -.0774776
     married |    -.02095   .0044308    -4.73   0.000    -.0299646   -.0119355
married_no~t |  -.0320828   .0058767    -5.46   0.000    -.0440391   -.0201265
married_wo~r |  -.0473442   .0046429   -10.20   0.000    -.0567903   -.0378981
married_no~l |   -.029604   .0032834    -9.02   0.000    -.0362841   -.0229238
        edad |  -.0036262   .0002236   -16.21   0.000    -.0040812   -.0031712
edad_nonre~t |  -.0016034   .0003276    -4.89   0.000    -.0022699    -.000937
edad_worke~r |  -.0028712   .0005719    -5.02   0.000    -.0040348   -.0017076
edad_notempl |   .0011848    .000243     4.88   0.000     .0006905    .0016791
     primary |  -.0007851   .0057606    -0.14   0.892     -.012505    .0109349
primary_no~t |  -.0151461   .0064106    -2.36   0.024    -.0281885   -.0021036
primary_wo~r |  -.0539264    .008212    -6.57   0.000    -.0706338   -.0372191
primary_no~l |   .0039425    .005768     0.68   0.499    -.0077926    .0156776
   secondary |  -.0087606   .0038985    -2.25   0.031    -.0166921   -.0008291
secondary_~t |  -.0229936   .0072078    -3.19   0.003     -.037658   -.0083293
secondary_~r |   -.120357   .0064602   -18.63   0.000    -.1335005   -.1072136
secondary_~l |   .0199412    .004506     4.43   0.000     .0107737    .0291087
  highschool |  -.0055533   .0042555    -1.30   0.201    -.0142112    .0031046
highschool~t |  -.0585095   .0071765    -8.15   0.000    -.0731101   -.0439088
highschool~r |  -.2264341    .008708   -26.00   0.000    -.2441506   -.2087177
highschool~l |  -.0233495   .0048465    -4.82   0.000    -.0332099   -.0134892
  university |  -.0299247   .0042191    -7.09   0.000    -.0385086   -.0213408
university~t |  -.0782949   .0110373    -7.09   0.000    -.1007504   -.0558394
university~r |  -.3380669   .0129433   -26.12   0.000    -.3644003   -.3117335
university~l |   .0272919   .0056736     4.81   0.000     .0157488    .0388349
         pan |  -.0019772   .0091605    -0.22   0.830    -.0206143      .01666
pan_nonreg~t |  -.0075496   .0106732    -0.71   0.484    -.0292644    .0141651
pan_worker~r |  -.0111792   .0100987    -1.11   0.276    -.0317252    .0093669
 pan_notempl |  -.0044184   .0093386    -0.47   0.639    -.0234178    .0145811
     aligned |  -.0001397   .0050896    -0.03   0.978    -.0104946    .0102153
aligned_no~t |  -.0039591    .008606    -0.46   0.649     -.021468    .0135499
aligned_wo~r |   .0025854   .0106217     0.24   0.809    -.0190246    .0241954
aligned_no~l |  -.0045744   .0067904    -0.67   0.505    -.0183895    .0092407
act_fijtrend |  -.0006397   .0018095    -0.35   0.726    -.0043212    .0030418
form_captr~d |   .0000248   .0008834     0.03   0.978    -.0017724    .0018221
 uni_ectrend |   -.001638   .0014777    -1.11   0.276    -.0046444    .0013684
 val_agtrend |   .0010074   .0014377     0.70   0.488    -.0019176    .0039325
act_fijtre~t |   .0052472   .0021897     2.40   0.022     .0007922    .0097023
act_fijtre~r |   .0015461   .0025229     0.61   0.544    -.0035868     .006679
act_fijtre~l |   .0004684   .0015501     0.30   0.764    -.0026854    .0036222
form_captr~t |  -.0029116   .0008583    -3.39   0.002    -.0046577   -.0011654
form_captr~r |  -.0005952   .0012625    -0.47   0.640    -.0031638    .0019734
form_captr~l |  -.0002815   .0007945    -0.35   0.725    -.0018979     .001335
uni_ectren~t |   .0019419   .0019961     0.97   0.338    -.0021192    .0060031
uni_ectren~r |  -.0015983   .0023746    -0.67   0.506    -.0064295    .0032329
uni_ectren~l |   .0018734   .0014636     1.28   0.209    -.0011043    .0048512
val_agtren~t |  -.0021403    .001727    -1.24   0.224    -.0056538    .0013733
val_agtren~r |  -.0012575   .0020724    -0.61   0.548    -.0054739    .0029588
val_agtren~l |  -.0003129    .001345    -0.23   0.817    -.0030493    .0024235
_Iquar~20004 |  -.0016198   .0100691    -0.16   0.873    -.0221056     .018866
_Iquar~20011 |   .0035763   .0162901     0.22   0.828    -.0295662    .0367188
_Iquar~20012 |   .0180659   .0222739     0.81   0.423    -.0272506    .0633825
_Iquar~20013 |   .0096348   .0288193     0.33   0.740    -.0489984    .0682681
_Iquar~20014 |   .0222368   .0349856     0.64   0.529     -.048942    .0934156
_Iquar~20021 |   .0195193   .0404156     0.48   0.632    -.0627068    .1017455
_Iquar~20022 |   .0257323   .0486661     0.53   0.601    -.0732797    .1247443
_Iquar~20023 |   .0349086   .0540156     0.65   0.523     -.074987    .1448041
_Iquar~20024 |   .0382748    .059822     0.64   0.527     -.083434    .1599836
_Iquar~20031 |    .033785   .0685193     0.49   0.625    -.1056185    .1731886
_Iquar~20032 |   .0300825   .0747853     0.40   0.690    -.1220694    .1822344
_Iquar~20033 |   .0343795   .0809282     0.42   0.674    -.1302701    .1990292
_Iquar~20034 |    .033886   .0875035     0.39   0.701    -.1441412    .2119132
_Iquar~20041 |   .0375132      .0948     0.40   0.695    -.1553589    .2303854
_Iquar~20042 |   .0530125   .1009605     0.53   0.603    -.1523931    .2584181
_Iquar~20043 |   .0442717   .1054305     0.42   0.677    -.1702283    .2587717
_Iquar~20044 |   .0545884   .1127897     0.48   0.632     -.174884    .2840608
   _Igroup_2 |   .2032405   .0250308     8.12   0.000     .1523149     .254166
   _Igroup_3 |   .6324329   .0368119    17.18   0.000     .5575384    .7073273
   _Igroup_4 |  -.0095344   .0258573    -0.37   0.715    -.0621415    .0430726
_IquaXg~04_2 |  -.0199584   .0120916    -1.65   0.108    -.0445589    .0046421
_IquaXg~04_3 |   .0120282   .0132888     0.91   0.372    -.0150082    .0390645
_IquaXg~04_4 |   .0011846   .0097321     0.12   0.904    -.0186156    .0209848
_IquaXg~11_2 |  -.0476454   .0218884    -2.18   0.037    -.0921776   -.0031132
_IquaXg~11_3 |   .0097961   .0219162     0.45   0.658    -.0347928     .054385
_IquaXg~11_4 |  -.0062175   .0161235    -0.39   0.702    -.0390211    .0265861
_IquaXg~12_2 |  -.0715484    .032085    -2.23   0.033    -.1368257    -.006271
_IquaXg~12_3 |   .0042997   .0319115     0.13   0.894    -.0606246    .0692241
_IquaXg~12_4 |  -.0200034   .0221053    -0.90   0.372    -.0649769    .0249701
_IquaXg~13_2 |  -.0792342   .0432106    -1.83   0.076    -.1671468    .0086784
_IquaXg~13_3 |   .0229499   .0423253     0.54   0.591    -.0631615    .1090614
_IquaXg~13_4 |  -.0117223   .0289826    -0.40   0.688    -.0706878    .0472432
_IquaXg~14_2 |  -.1095926   .0525542    -2.09   0.045     -.216515   -.0026702
_IquaXg~14_3 |   .0188897   .0523695     0.36   0.721    -.0876569    .1254363
_IquaXg~14_4 |  -.0283316   .0354864    -0.80   0.430    -.1005293    .0438661
_IquaXg~21_2 |  -.1083352   .0625055    -1.73   0.092    -.2355035    .0188331
_IquaXg~21_3 |   .0307628   .0596891     0.52   0.610    -.0906756    .1522012
_IquaXg~21_4 |  -.0334151   .0419812    -0.80   0.432    -.1188265    .0519963
_IquaXg~22_2 |  -.1203234   .0730533    -1.65   0.109    -.2689515    .0283047
_IquaXg~22_3 |   .0296501   .0727776     0.41   0.686    -.1184169    .1777172
_IquaXg~22_4 |    -.03874   .0494737    -0.78   0.439     -.139395    .0619151
_IquaXg~23_2 |  -.1507684   .0814736    -1.85   0.073    -.3165276    .0149909
_IquaXg~23_3 |   .0344927   .0811068     0.43   0.673    -.1305204    .1995058
_IquaXg~23_4 |  -.0532592   .0550125    -0.97   0.340     -.165183    .0586647
_IquaXg~24_2 |  -.1710103   .0917589    -1.86   0.071    -.3576952    .0156746
_IquaXg~24_3 |   .0396104   .0904179     0.44   0.664    -.1443462     .223567
_IquaXg~24_4 |   -.058154   .0610698    -0.95   0.348    -.1824016    .0660935
_IquaXg~31_2 |  -.1908531    .102825    -1.86   0.072    -.4000522    .0183459
_IquaXg~31_3 |   .0563099   .1034352     0.54   0.590    -.1541305    .2667503
_IquaXg~31_4 |  -.0588313   .0704549    -0.84   0.410    -.2021729    .0845103
_IquaXg~32_2 |  -.1949092   .1119235    -1.74   0.091    -.4226192    .0328008
_IquaXg~32_3 |   .0707671    .111476     0.63   0.530    -.1560326    .2975668
_IquaXg~32_4 |  -.0635019   .0767009    -0.83   0.414    -.2195511    .0925473
_IquaXg~33_2 |  -.2031695   .1225368    -1.66   0.107    -.4524725    .0461336
_IquaXg~33_3 |   .0760213   .1217566     0.62   0.537    -.1716943    .3237369
_IquaXg~33_4 |   -.068725   .0832342    -0.83   0.415    -.2380662    .1006162
_IquaXg~34_2 |   -.204711   .1351796    -1.51   0.139    -.4797361     .070314
_IquaXg~34_3 |   .0884742   .1294454     0.68   0.499    -.1748845    .3518328
_IquaXg~34_4 |  -.0753616   .0906712    -0.83   0.412    -.2598335    .1091104
_IquaXg~41_2 |  -.2414509   .1417459    -1.70   0.098     -.529835    .0469333
_IquaXg~41_3 |   .0984259   .1388947     0.71   0.484    -.1841575    .3810093
_IquaXg~41_4 |   -.077611   .0974147    -0.80   0.431    -.2758027    .1205807
_IquaXg~42_2 |  -.2494471   .1530913    -1.63   0.113    -.5609138    .0620195
_IquaXg~42_3 |   .0891814   .1467376     0.61   0.548    -.2093584    .3877212
_IquaXg~42_4 |  -.0964737    .101941    -0.95   0.351    -.3038742    .1109268
_IquaXg~43_2 |    -.26665   .1629953    -1.64   0.111    -.5982665    .0649665
_IquaXg~43_3 |   .1064449   .1586004     0.67   0.507      -.21623    .4291197
_IquaXg~43_4 |  -.0869028   .1110415    -0.78   0.439    -.3128185    .1390128
_IquaXg~44_2 |  -.2975199    .167356    -1.78   0.085    -.6380083    .0429686
_IquaXg~44_3 |   .0925269   .1674313     0.55   0.584    -.2481147    .4331684
_IquaXg~44_4 |  -.1137226   .1148686    -0.99   0.329    -.3474244    .1199793
 _Acode_2001 |   .0239799   .0117327     2.04   0.049     .0001096    .0478503
 _Acode_2002 |   .0217645   .0092706     2.35   0.025     .0029033    .0406257
 _Acode_3008 |  -.0177268   .0119182    -1.49   0.146    -.0419745    .0065209
 _Acode_4002 |   .0074472   .0128496     0.58   0.566    -.0186956      .03359
 _Acode_5035 |  -.0086281   .0090943    -0.95   0.350    -.0271307    .0098744
 _Acode_7089 |  -.0687296    .013791    -4.98   0.000    -.0967877   -.0406716
_Acode_11007 |   .0016625   .0035617     0.47   0.644    -.0055839    .0089089
_Acode_11017 |  -.0005245   .0084425    -0.06   0.951    -.0177008    .0166518
_Acode_11020 |   .0153703   .0034038     4.52   0.000     .0084452    .0222955
_Acode_11023 |  -.0470132   .0179747    -2.62   0.013     -.083583   -.0104434
_Acode_11027 |  -.0153757   .0107511    -1.43   0.162     -.037249    .0064976
_Acode_11028 |  -.0240971   .0110666    -2.18   0.037    -.0466122   -.0015819
_Acode_11035 |  -.0692462   .0161895    -4.28   0.000    -.1021839   -.0363085
_Acode_13048 |   .0212015   .0079172     2.68   0.011     .0050938    .0373091
_Acode_14039 |  -.0110598   .0036196    -3.06   0.004    -.0184239   -.0036957
_Acode_14098 |  -.0005282   .0068711    -0.08   0.939    -.0145074    .0134511
_Acode_14120 |  -.0009682   .0073615    -0.13   0.896    -.0159452    .0140088
_Acode_15104 |   .0043272   .0111152     0.39   0.700    -.0182867    .0269412
_Acode_16053 |  -.0071127   .0112566    -0.63   0.532    -.0300145    .0157891
_Acode_16102 |  -.0151903   .0066613    -2.28   0.029    -.0287429   -.0016378
_Acode_20067 |  -.0089189   .0133236    -0.67   0.508     -.036026    .0181882
_Acode_21114 |  -.0026987   .0079461    -0.34   0.736    -.0188652    .0134677
_Acode_21156 |  -.0014348   .0100259    -0.14   0.887    -.0218327    .0189632
_Acode_22014 |  -.0110095   .0052856    -2.08   0.045    -.0217632   -.0002559
_Acode_23004 |   .0042011   .0132205     0.32   0.753    -.0226962    .0310983
_Acode_24028 |  -.0027895   .0071097    -0.39   0.697    -.0172542    .0116752
_Acode_25006 |  -.0136614   .0122951    -1.11   0.275    -.0386761    .0113532
_Acode_25012 |   .0366397   .0093933     3.90   0.000     .0175287    .0557506
_Acode_25018 |   .0262543   .0159363     1.65   0.109    -.0061684    .0586769
_Acode_29005 |  -.0066965   .0137649    -0.49   0.630    -.0347015    .0213085
_Acode_30028 |   -.025785   .0129271    -1.99   0.054    -.0520853    .0005154
_Acode_30044 |   .0119721   .0057794     2.07   0.046     .0002139    .0237303
_Acode_31050 |  -.0004397   .0040461    -0.11   0.914    -.0086715    .0077921
_AcodXgr~1_2 |  -.0842748   .0122183    -6.90   0.000    -.1091331   -.0594165
_AcodXgr~1_3 |   .0217849   .0152145     1.43   0.162    -.0091693    .0527391
_AcodXgr~1_4 |   .0249606    .008913     2.80   0.008      .006827    .0430942
_Acod~2002_2 |  -.0435562    .013621    -3.20   0.003    -.0712683   -.0158441
_Acod~2002_3 |  -.0883315   .0144772    -6.10   0.000    -.1177856   -.0588773
_Acod~2002_4 |  -.0288177   .0096013    -3.00   0.005    -.0483516   -.0092837
_AcodXg~08_2 |   .0442352   .0171151     2.58   0.014     .0094143    .0790562
_AcodXg~08_3 |   .0678196   .0160173     4.23   0.000     .0352322    .1004069
_AcodXg~08_4 |   .0376389    .012075     3.12   0.004     .0130722    .0622056
_Acod~4002_2 |  -.0373134   .0138015    -2.70   0.011    -.0653929    -.009234
_Acod~4002_3 |  -.0253025   .0169092    -1.50   0.144    -.0597046    .0090995
_Acod~4002_4 |  -.0148194   .0122132    -1.21   0.234    -.0396673    .0100285
_Acod~5035_2 |  -.0464332    .013443    -3.45   0.002    -.0737832   -.0190833
_Acod~5035_3 |    .085177   .0155272     5.49   0.000     .0535867    .1167673
_Acod~5035_4 |   .0006658   .0109156     0.06   0.952    -.0215422    .0228738
_AcodXg~89_2 |   .0030403    .014888     0.20   0.839    -.0272495    .0333302
_AcodXg~89_3 |    .108825    .019893     5.47   0.000     .0683523    .1492976
_AcodXg~89_4 |   .0728556    .014353     5.08   0.000     .0436541     .102057
_AcodXg~07_2 |  -.0393463   .0046244    -8.51   0.000    -.0487546    -.029938
_AcodXg~07_3 |    .007364   .0051762     1.42   0.164    -.0031672    .0178951
_AcodXg~07_4 |   .0053817    .003932     1.37   0.180     -.002618    .0133814
_AcodXg~17_2 |   -.013392   .0126244    -1.06   0.296    -.0390764    .0122925
_AcodXg~17_3 |   .0429822   .0118996     3.61   0.001     .0187723    .0671922
_AcodXg~17_4 |  -.0036765   .0086345    -0.43   0.673    -.0212434    .0138905
_AcodX~020_2 |  -.0244396   .0036374    -6.72   0.000    -.0318399   -.0170392
_AcodX~020_3 |   .1029128   .0045488    22.62   0.000     .0936581    .1121675
_AcodX~020_4 |  -.0082702   .0037123    -2.23   0.033     -.015823   -.0007174
_AcodXg~23_2 |   .0369189   .0264365     1.40   0.172    -.0168667    .0907044
_AcodXg~23_3 |   .0709119   .0253197     2.80   0.008     .0193985    .1224252
_AcodXg~23_4 |   .0598812   .0184506     3.25   0.003     .0223432    .0974192
_AcodXg~27_2 |   .0180021   .0080401     2.24   0.032     .0016443    .0343598
_AcodXg~27_3 |  -.0852839   .0162917    -5.23   0.000    -.1184296   -.0521383
_AcodXg~27_4 |   .0072039   .0133676     0.54   0.594    -.0199926    .0344004
_Acod~1028_2 |   .0189691   .0149104     1.27   0.212    -.0113662    .0493045
_Acod~1028_3 |   .0590403   .0145421     4.06   0.000     .0294541    .0886265
_Acod~1028_4 |   .0561996   .0107599     5.22   0.000     .0343084    .0780908
_Acod~1035_2 |   .0102707   .0208302     0.49   0.625    -.0321086    .0526499
_Acod~1035_3 |   .0783466   .0221583     3.54   0.001     .0332652    .1234279
_Acod~1035_4 |   .1204333   .0169484     7.11   0.000     .0859515    .1549151
_AcodXg~48_2 |  -.0310931   .0089739    -3.46   0.001    -.0493507   -.0128356
_AcodXg~48_3 |  -.0600479   .0139925    -4.29   0.000    -.0885158   -.0315801
_AcodXg~48_4 |  -.0315152   .0086993    -3.62   0.001     -.049214   -.0138163
_AcodXg~39_2 |  -.0371642   .0040881    -9.09   0.000    -.0454815    -.028847
_AcodXg~39_3 |   .0665205    .005415    12.28   0.000     .0555036    .0775374
_AcodXg~39_4 |   .0311901   .0040762     7.65   0.000     .0228969    .0394833
_AcodXg~98_2 |  -.0262459   .0089808    -2.92   0.006    -.0445173   -.0079744
_AcodXg~98_3 |  -.0108246   .0104624    -1.03   0.308    -.0321105    .0104612
_AcodXg~98_4 |   .0044895   .0064603     0.69   0.492    -.0086541    .0176331
_AcodX~120_2 |   .0337342   .0112051     3.01   0.005     .0109373    .0565311
_AcodX~120_3 |   .0674195   .0117005     5.76   0.000     .0436147    .0912242
_AcodX~120_4 |   .0220003   .0074681     2.95   0.006     .0068062    .0371943
_AcodX~104_2 |  -.0427299     .01674    -2.55   0.016    -.0767877   -.0086721
_AcodX~104_3 |  -.0586285   .0189476    -3.09   0.004    -.0971776   -.0200794
_AcodX~104_4 |  -.0336706   .0116634    -2.89   0.007    -.0574001   -.0099411
_AcodXg~53_2 |  -.0263874   .0127275    -2.07   0.046    -.0522816   -.0004931
_AcodXg~53_3 |   .0069101   .0157387     0.44   0.663    -.0251106    .0389308
_AcodXg~53_4 |  -.0091273   .0111144    -0.82   0.417    -.0317397    .0134851
_AcodX~102_2 |    .010493   .0105312     1.00   0.326     -.010933    .0319189
_AcodX~102_3 |   .1110871   .0127428     8.72   0.000     .0851617    .1370126
_AcodX~102_4 |    .003599   .0079111     0.45   0.652    -.0124962    .0196943
_AcodXg~67_2 |  -.0182197   .0133635    -1.36   0.182     -.045408    .0089685
_AcodXg~67_3 |  -.0082854   .0225475    -0.37   0.716    -.0541586    .0375879
_AcodXg~67_4 |  -.0071505   .0134296    -0.53   0.598    -.0344732    .0201723
_AcodX~114_2 |  -.0335615   .0105236    -3.19   0.003    -.0549721    -.012151
_AcodX~114_3 |   .0253782   .0138912     1.83   0.077    -.0028836      .05364
_AcodX~114_4 |  -.0195624   .0096087    -2.04   0.050    -.0391114   -.0000134
_AcodXg~56_2 |  -.0246073   .0102926    -2.39   0.023    -.0455478   -.0036669
_AcodXg~56_3 |   .0313818   .0167345     1.88   0.070    -.0026648    .0654284
_AcodXg~56_4 |    .023801   .0108108     2.20   0.035     .0018063    .0457958
_AcodX~014_2 |  -.0300742   .0071209    -4.22   0.000    -.0445618   -.0155866
_AcodX~014_3 |  -.0170848   .0085444    -2.00   0.054    -.0344684    .0002988
_AcodX~014_4 |   .0117877   .0056988     2.07   0.047     .0001933     .023382
_AcodX~004_2 |  -.1179899   .0150782    -7.83   0.000    -.1486666   -.0873132
_AcodX~004_3 |  -.1039098   .0175045    -5.94   0.000    -.1395229   -.0682966
_AcodX~004_4 |   -.022933   .0127132    -1.80   0.080    -.0487983    .0029322
_Acod~4028_2 |  -.0179925   .0088853    -2.02   0.051    -.0360697    .0000847
_Acod~4028_3 |   .0330184   .0121178     2.72   0.010     .0083644    .0576723
_Acod~4028_4 |  -.0023362   .0083596    -0.28   0.782    -.0193439    .0146714
_AcodXg~06_2 |  -.0541194   .0168466    -3.21   0.003     -.088394   -.0198448
_AcodXg~06_3 |   .0659021   .0183687     3.59   0.001     .0285306    .1032736
_AcodXg~06_4 |   .0156707   .0136821     1.15   0.260    -.0121658    .0435071
_AcodXg~12_2 |  -.0789786   .0127505    -6.19   0.000    -.1049196   -.0530376
_AcodXg~12_3 |    .081839   .0137036     5.97   0.000     .0539588    .1097192
_AcodXg~12_4 |  -.0157582   .0092689    -1.70   0.099    -.0346158    .0030995
_AcodXg~18_2 |  -.0504805   .0208818    -2.42   0.021    -.0929649    -.007996
_AcodXg~18_3 |   .0572093   .0229156     2.50   0.018     .0105872    .1038315
_AcodXg~18_4 |    .046182   .0158382     2.92   0.006      .013959     .078405
_AcodXg~05_2 |  -.0478909   .0135681    -3.53   0.001    -.0754954   -.0202864
_AcodXg~05_3 |  -.0434707   .0238914    -1.82   0.078     -.092078    .0051367
_AcodXg~05_4 |   .0034387   .0139448     0.25   0.807    -.0249323    .0318097
_Acod~0028_2 |  -.0514572   .0164798    -3.12   0.004    -.0849855   -.0179288
_Acod~0028_3 |   .0510071   .0193581     2.63   0.013     .0116227    .0903915
_Acod~0028_4 |   .0089564   .0091199     0.98   0.333    -.0095982    .0275109
_AcodXg~44_2 |  -.0803346   .0076039   -10.56   0.000    -.0958049   -.0648643
_AcodXg~44_3 |   .0588944   .0117254     5.02   0.000      .035039    .0827498
_AcodXg~44_4 |  -.0236379   .0075688    -3.12   0.004    -.0390366   -.0082391
_AcodXg~50_2 |  -.0338974    .004664    -7.27   0.000    -.0433864   -.0244085
_AcodXg~50_3 |   .0838296   .0061396    13.65   0.000     .0713384    .0963207
_AcodXg~50_4 |  -.0028649   .0041697    -0.69   0.497    -.0113482    .0056184
       _cons |   .3024541   .0219516    13.78   0.000     .2577934    .3471149
------------------------------------------------------------------------------

Linear regression                                      Number of obs = 1051295
                                                       F( 33,    33) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2841
                                                       Root MSE      =   .3393

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 sarepregist |   .0029598   .0047465     0.62   0.537    -.0066971    .0126167
sarepnonre~t |  -.0048185   .0028842    -1.67   0.104    -.0106865    .0010496
 sarepworker |  -.0147789   .0043195    -3.42   0.002     -.023567   -.0059908
sarepnotempl |   .0013754   .0022075     0.62   0.538    -.0031158    .0058666
      female |  -.0349504   .0034928   -10.01   0.000    -.0420566   -.0278442
female_non~t |   .0087276   .0036074     2.42   0.021     .0013882     .016067
female_wor~r |  -.0186234   .0083582    -2.23   0.033    -.0356283   -.0016186
female_not~l |  -.0140441   .0041642    -3.37   0.002    -.0225161    -.005572
     married |   .0001794   .0022436     0.08   0.937    -.0043852    .0047441
married_no~t |  -.0024758   .0032952    -0.75   0.458    -.0091798    .0042283
married_wo~r |   .0556473   .0035815    15.54   0.000     .0483606    .0629339
married_no~l |  -.0111164    .002803    -3.97   0.000    -.0168191   -.0054138
        edad |  -.0010533    .000127    -8.30   0.000    -.0013115    -.000795
edad_nonre~t |   .0003646   .0001483     2.46   0.019     .0000628    .0006664
edad_worke~r |   .0073577   .0005343    13.77   0.000     .0062707    .0084447
edad_notempl |   .0004916    .000117     4.20   0.000     .0002536    .0007295
     primary |   .0064299   .0027892     2.31   0.028     .0007552    .0121046
primary_no~t |  -.0038366   .0030071    -1.28   0.211    -.0099546    .0022813
primary_wo~r |   .1041934   .0066138    15.75   0.000     .0907375    .1176492
primary_no~l |  -.0016262   .0030165    -0.54   0.593    -.0077634     .004511
   secondary |   .0077478   .0019936     3.89   0.000     .0036918    .0118039
secondary_~t |   .0072533   .0025287     2.87   0.007     .0021087    .0123979
secondary_~r |   .2155005   .0106978    20.14   0.000     .1937357    .2372653
secondary_~l |   .0053636   .0027325     1.96   0.058    -.0001958     .010923
  highschool |   .0106399   .0033166     3.21   0.003     .0038923    .0173875
highschool~t |   .0136217   .0038747     3.52   0.001     .0057387    .0215048
highschool~r |    .325639   .0126415    25.76   0.000     .2999196    .3513584
highschool~l |    .004722   .0031037     1.52   0.138    -.0015926    .0110365
  university |   .0299314    .004893     6.12   0.000     .0199765    .0398864
university~t |   .0313757   .0078921     3.98   0.000     .0153191    .0474323
university~r |   .4874701   .0144195    33.81   0.000     .4581333    .5168068
university~l |   .0608054   .0042503    14.31   0.000     .0521581    .0694527
         pan |  -.0000326   .0034174    -0.01   0.992    -.0069853      .00692
pan_nonreg~t |  -.0008346   .0045393    -0.18   0.855    -.0100698    .0084006
pan_worker~r |   .0053401   .0070525     0.76   0.454    -.0090083    .0196884
 pan_notempl |   .0026916   .0035557     0.76   0.454    -.0045425    .0099257
     aligned |  -.0028582   .0041342    -0.69   0.494    -.0112692    .0055529
aligned_no~t |   .0055064   .0058878     0.94   0.356    -.0064724    .0174852
aligned_wo~r |   .0014981   .0097893     0.15   0.879    -.0184184    .0214146
aligned_no~l |   .0046349   .0040949     1.13   0.266    -.0036963     .012966
act_fijtrend |  -.0014964   .0011927    -1.25   0.218     -.003923    .0009302
form_captr~d |   .0003567   .0005232     0.68   0.500    -.0007078    .0014212
 uni_ectrend |  -.0006845   .0009406    -0.73   0.472    -.0025982    .0012292
 val_agtrend |    .000169   .0008278     0.20   0.840    -.0015152    .0018531
act_fijtre~t |   .0007501   .0011763     0.64   0.528    -.0016431    .0031433
act_fijtre~r |  -.0002912   .0025227    -0.12   0.909    -.0054236    .0048412
act_fijtre~l |   .0013287   .0013745     0.97   0.341    -.0014677    .0041251
form_captr~t |   -.000314   .0005701    -0.55   0.586    -.0014739    .0008459
form_captr~r |   .0001082   .0008778     0.12   0.903    -.0016776     .001894
form_captr~l |  -.0001965   .0005503    -0.36   0.723    -.0013161    .0009231
uni_ectren~t |  -.0001011   .0010591    -0.10   0.925    -.0022559    .0020536
uni_ectren~r |   .0028872   .0025301     1.14   0.262    -.0022603    .0080347
uni_ectren~l |   .0008643   .0014009     0.62   0.542    -.0019859    .0037144
val_agtren~t |   .0007099   .0009298     0.76   0.451    -.0011817    .0026016
val_agtren~r |   .0008332   .0020713     0.40   0.690    -.0033809    .0050473
val_agtren~l |  -.0004333   .0010874    -0.40   0.693    -.0026456    .0017791
_Iquar~20004 |   .0217494   .0046912     4.64   0.000     .0122051    .0312937
_Iquar~20011 |   .0342453   .0103246     3.32   0.002     .0132398    .0552507
_Iquar~20012 |    .052146   .0148781     3.50   0.001     .0218763    .0824157
_Iquar~20013 |   .0611711   .0192415     3.18   0.003      .022024    .1003182
_Iquar~20014 |    .074391   .0236778     3.14   0.004     .0262181     .122564
_Iquar~20021 |   .0876299   .0296524     2.96   0.006     .0273016    .1479583
_Iquar~20022 |   .1019447   .0350735     2.91   0.006      .030587    .1733024
_Iquar~20023 |    .110363   .0395227     2.79   0.009     .0299535    .1907725
_Iquar~20024 |   .1332564   .0448221     2.97   0.005      .042065    .2244477
_Iquar~20031 |   .1420964    .048215     2.95   0.006     .0440022    .2401906
_Iquar~20032 |   .1507391   .0534302     2.82   0.008     .0420347    .2594436
_Iquar~20033 |   .1637145   .0575728     2.84   0.008     .0465818    .2808472
_Iquar~20034 |   .1785299   .0632455     2.82   0.008      .049856    .3072039
_Iquar~20041 |   .1934371    .068712     2.82   0.008     .0536416    .3332327
_Iquar~20042 |   .1982653   .0733063     2.70   0.011     .0491224    .3474081
_Iquar~20043 |   .2114304    .079151     2.67   0.012     .0503964    .3724643
_Iquar~20044 |   .2266719   .0823539     2.75   0.010     .0591216    .3942222
   _Igroup_2 |  -.0502073   .0220457    -2.28   0.029    -.0950595   -.0053551
   _Igroup_3 |  -.1959339   .0346887    -5.65   0.000    -.2665085   -.1253592
   _Igroup_4 |  -.0194404   .0167805    -1.16   0.255    -.0535806    .0146997
_IquaXg~04_2 |  -.0200162   .0066851    -2.99   0.005    -.0336171   -.0064153
_IquaXg~04_3 |  -.0367953   .0108842    -3.38   0.002    -.0589394   -.0146511
_IquaXg~04_4 |  -.0175349   .0054191    -3.24   0.003    -.0285602   -.0065097
_IquaXg~11_2 |  -.0266726    .014022    -1.90   0.066    -.0552006    .0018554
_IquaXg~11_3 |  -.0535994   .0196744    -2.72   0.010    -.0936273   -.0135715
_IquaXg~11_4 |  -.0294804   .0120352    -2.45   0.020    -.0539662   -.0049946
_IquaXg~12_2 |  -.0394433   .0205672    -1.92   0.064    -.0812876     .002401
_IquaXg~12_3 |  -.0781075   .0301622    -2.59   0.014    -.1394729    -.016742
_IquaXg~12_4 |  -.0467495   .0176798    -2.64   0.012    -.0827193   -.0107797
_IquaXg~13_2 |  -.0459969   .0262877    -1.75   0.089    -.0994797    .0074859
_IquaXg~13_3 |   -.094642   .0401244    -2.36   0.024    -.1762757   -.0130083
_IquaXg~13_4 |  -.0534791   .0233917    -2.29   0.029    -.1010698   -.0058884
_IquaXg~14_2 |  -.0589996   .0318128    -1.85   0.073    -.1237232     .005724
_IquaXg~14_3 |   -.109438   .0501118    -2.18   0.036    -.2113913   -.0074848
_IquaXg~14_4 |  -.0620908   .0289426    -2.15   0.039    -.1209749   -.0032067
_IquaXg~21_2 |   -.072514   .0403993    -1.79   0.082     -.154707    .0096791
_IquaXg~21_3 |  -.1345987    .060135    -2.24   0.032    -.2569442   -.0122532
_IquaXg~21_4 |  -.0769343   .0352918    -2.18   0.036    -.1487359   -.0051327
_IquaXg~22_2 |  -.0820822   .0472302    -1.74   0.092    -.1781728    .0140084
_IquaXg~22_3 |  -.1491153   .0720187    -2.07   0.046    -.2956384   -.0025922
_IquaXg~22_4 |  -.0881392    .042424    -2.08   0.046    -.1744514   -.0018269
_IquaXg~23_2 |  -.0952238   .0546017    -1.74   0.090    -.2063119    .0158642
_IquaXg~23_3 |  -.1657149   .0816685    -2.03   0.051    -.3318707    .0004409
_IquaXg~23_4 |  -.0965677   .0476235    -2.03   0.051    -.1934585    .0003231
_IquaXg~24_2 |  -.1111184   .0604309    -1.84   0.075    -.2340659    .0118292
_IquaXg~24_3 |  -.1925409   .0899126    -2.14   0.040    -.3754695   -.0096122
_IquaXg~24_4 |  -.1128603   .0530473    -2.13   0.041    -.2207859   -.0049347
_IquaXg~31_2 |  -.1256635   .0676495    -1.86   0.072    -.2632975    .0119705
_IquaXg~31_3 |  -.2012712   .0988314    -2.04   0.050    -.4023453   -.0001972
_IquaXg~31_4 |  -.1195259   .0574778    -2.08   0.045    -.2364654   -.0025864
_IquaXg~32_2 |  -.1285038   .0748309    -1.72   0.095    -.2807484    .0237407
_IquaXg~32_3 |  -.2207326   .1097037    -2.01   0.052    -.4439264    .0024612
_IquaXg~32_4 |  -.1270767   .0640952    -1.98   0.056    -.2574792    .0033259
_IquaXg~33_2 |  -.1433829   .0810554    -1.77   0.086    -.3082914    .0215256
_IquaXg~33_3 |  -.2364663   .1179961    -2.00   0.053    -.4765312    .0035986
_IquaXg~33_4 |  -.1377134   .0693913    -1.98   0.056    -.2788911    .0034643
_IquaXg~34_2 |  -.1537129   .0880579    -1.75   0.090    -.3328681    .0254423
_IquaXg~34_3 |  -.2545203    .128261    -1.98   0.056    -.5154693    .0064287
_IquaXg~34_4 |  -.1489595   .0754657    -1.97   0.057    -.3024956    .0045766
_IquaXg~41_2 |  -.1680311   .0948991    -1.77   0.086    -.3611047    .0250426
_IquaXg~41_3 |  -.2753262   .1374025    -2.00   0.053    -.5548737    .0042212
_IquaXg~41_4 |  -.1637279   .0819254    -2.00   0.054    -.3304063    .0029505
_IquaXg~42_2 |  -.1670692   .1012017    -1.65   0.108    -.3729657    .0388273
_IquaXg~42_3 |  -.2787555   .1463074    -1.91   0.065    -.5764202    .0189091
_IquaXg~42_4 |  -.1640866    .087068    -1.88   0.068    -.3412279    .0130546
_IquaXg~43_2 |   -.166169   .1085392    -1.53   0.135    -.3869936    .0546557
_IquaXg~43_3 |  -.2924003   .1556848    -1.88   0.069    -.6091435    .0243428
_IquaXg~43_4 |  -.1767709   .0934937    -1.89   0.067    -.3669851    .0134434
_IquaXg~44_2 |  -.1841824   .1133988    -1.62   0.114    -.4148941    .0465292
_IquaXg~44_3 |  -.2988785   .1646095    -1.82   0.079    -.6337791     .036022
_IquaXg~44_4 |  -.1869408   .0968156    -1.93   0.062    -.3839136     .010032
 _Acode_2001 |  -.0024699    .006191    -0.40   0.693    -.0150656    .0101258
 _Acode_2002 |   .0217824   .0066147     3.29   0.002     .0083247      .03524
 _Acode_3008 |  -.0385968   .0054745    -7.05   0.000    -.0497348   -.0274588
 _Acode_4002 |  -.0031167   .0050622    -0.62   0.542    -.0134158    .0071823
 _Acode_5035 |  -.0115531   .0052791    -2.19   0.036    -.0222934   -.0008127
 _Acode_7089 |  -.0398168    .008165    -4.88   0.000    -.0564286    -.023205
_Acode_11007 |   .0047483   .0027375     1.73   0.092    -.0008212    .0103178
_Acode_11017 |  -.0171589   .0070759    -2.42   0.021    -.0315549   -.0027628
_Acode_11020 |  -.0133719   .0019839    -6.74   0.000    -.0174081   -.0093356
_Acode_11023 |  -.0728104   .0140956    -5.17   0.000    -.1014881   -.0441328
_Acode_11027 |   .0133941    .004433     3.02   0.005      .004375    .0224131
_Acode_11028 |  -.0230573   .0066922    -3.45   0.002    -.0366727   -.0094419
_Acode_11035 |   .0050685   .0100714     0.50   0.618     -.015422    .0255589
_Acode_13048 |  -.0009993   .0049949    -0.20   0.843    -.0111616     .009163
_Acode_14039 |   .0017872   .0019883     0.90   0.375     -.002258    .0058325
_Acode_14098 |  -.0047745     .00439    -1.09   0.285     -.013706    .0041571
_Acode_14120 |  -.0096397   .0049115    -1.96   0.058    -.0196323    .0003528
_Acode_15104 |   .0065358   .0075561     0.86   0.393    -.0088372    .0219088
_Acode_16053 |   .0098604   .0044745     2.20   0.035     .0007571    .0189638
_Acode_16102 |  -.0323948    .005579    -5.81   0.000    -.0437454   -.0210442
_Acode_20067 |    .002125   .0077356     0.27   0.785    -.0136131    .0178631
_Acode_21114 |   .0080177   .0044937     1.78   0.084    -.0011248    .0171602
_Acode_21156 |  -.0104488   .0066477    -1.57   0.126    -.0239736     .003076
_Acode_22014 |   .0182338   .0027462     6.64   0.000     .0126467    .0238209
_Acode_23004 |  -.0074387   .0054618    -1.36   0.182    -.0185507    .0036734
_Acode_24028 |  -.0040232   .0053805    -0.75   0.460    -.0149699    .0069234
_Acode_25006 |  -.0271617   .0067959    -4.00   0.000    -.0409881   -.0133353
_Acode_25012 |  -.0150167   .0043387    -3.46   0.002    -.0238438   -.0061896
_Acode_25018 |  -.0402877   .0097096    -4.15   0.000     -.060042   -.0205334
_Acode_29005 |  -.0028045   .0076618    -0.37   0.717    -.0183927    .0127836
_Acode_30028 |   .0000173   .0073057     0.00   0.998    -.0148462    .0148808
_Acode_30044 |  -.0080208   .0052444    -1.53   0.136    -.0186905     .002649
_Acode_31050 |  -.0131358   .0034008    -3.86   0.000    -.0200547   -.0062169
_AcodXgr~1_2 |   .0225451   .0072475     3.11   0.004        .0078    .0372903
_AcodXgr~1_3 |  -.0491716   .0130685    -3.76   0.001    -.0757597   -.0225835
_AcodXgr~1_4 |   .0138323   .0062762     2.20   0.035     .0010632    .0266013
_Acod~2002_2 |   .0200548   .0061822     3.24   0.003      .007477    .0326325
_Acod~2002_3 |  -.0062408   .0177964    -0.35   0.728    -.0424478    .0299662
_Acod~2002_4 |   .0043103   .0094253     0.46   0.650    -.0148657    .0234863
_AcodXg~08_2 |    .042022   .0078363     5.36   0.000     .0260789     .057965
_AcodXg~08_3 |  -.0165296   .0142328    -1.16   0.254    -.0454865    .0124274
_AcodXg~08_4 |   .0286373   .0050599     5.66   0.000     .0183428    .0389319
_Acod~4002_2 |   .0087394   .0082071     1.06   0.295    -.0079581    .0254368
_Acod~4002_3 |   .0208408    .011509     1.81   0.079    -.0025745    .0442561
_Acod~4002_4 |  -.0019985   .0053975    -0.37   0.714    -.0129799    .0089829
_Acod~5035_2 |   -.000722   .0075289    -0.10   0.924    -.0160396    .0145956
_Acod~5035_3 |  -.0787948    .013292    -5.93   0.000    -.1058376    -.051752
_Acod~5035_4 |   .0033063   .0065389     0.51   0.616    -.0099972    .0166097
_AcodXg~89_2 |   .0196096   .0102989     1.90   0.066    -.0013438     .040563
_AcodXg~89_3 |  -.0307247   .0138546    -2.22   0.034    -.0589121   -.0025373
_AcodXg~89_4 |   .0408105   .0092871     4.39   0.000     .0219156    .0597053
_AcodXg~07_2 |  -.0113135   .0029732    -3.81   0.001    -.0173625   -.0052646
_AcodXg~07_3 |  -.0536102   .0050558   -10.60   0.000    -.0638963   -.0433241
_AcodXg~07_4 |   -.004988    .002905    -1.72   0.095    -.0108983    .0009224
_AcodXg~17_2 |   .0061887    .007091     0.87   0.389     -.008238    .0206154
_AcodXg~17_3 |  -.0574767   .0134486    -4.27   0.000    -.0848381   -.0301153
_AcodXg~17_4 |   .0040522   .0077663     0.52   0.605    -.0117484    .0198529
_AcodX~020_2 |  -.0048395   .0021283    -2.27   0.030    -.0091696   -.0005093
_AcodX~020_3 |  -.1093348    .004243   -25.77   0.000    -.1179672   -.1007024
_AcodX~020_4 |    .002138   .0022352     0.96   0.346    -.0024096    .0066855
_AcodXg~23_2 |   .0599983   .0159035     3.77   0.001     .0276423    .0923543
_AcodXg~23_3 |  -.0503632   .0281255    -1.79   0.083    -.1075849    .0068586
_AcodXg~23_4 |   .0511028   .0166952     3.06   0.004     .0171361    .0850694
_AcodXg~27_2 |  -.0065123   .0059228    -1.10   0.279    -.0185623    .0055378
_AcodXg~27_3 |   .0773546   .0079965     9.67   0.000     .0610857    .0936235
_AcodXg~27_4 |  -.0166941   .0048117    -3.47   0.001    -.0264835   -.0069047
_Acod~1028_2 |   .0246463   .0098117     2.51   0.017     .0046843    .0446083
_Acod~1028_3 |  -.0173989   .0116229    -1.50   0.144    -.0410458     .006248
_Acod~1028_4 |   .0234733   .0074614     3.15   0.003     .0082929    .0386536
_Acod~1035_2 |  -.0332863   .0131717    -2.53   0.016    -.0600844   -.0064882
_Acod~1035_3 |  -.1103537   .0207631    -5.31   0.000    -.1525965    -.068111
_Acod~1035_4 |  -.0125742     .01246    -1.01   0.320    -.0379242    .0127759
_AcodXg~48_2 |   .0016339   .0067305     0.24   0.810    -.0120593    .0153272
_AcodXg~48_3 |   .0138698   .0110727     1.25   0.219    -.0086577    .0363974
_AcodXg~48_4 |   .0041372   .0062702     0.66   0.514    -.0086196     .016894
_AcodXg~39_2 |  -.0133854    .002735    -4.89   0.000    -.0189498   -.0078211
_AcodXg~39_3 |  -.0596154   .0045541   -13.09   0.000    -.0688807     -.05035
_AcodXg~39_4 |  -.0040616   .0024272    -1.67   0.104    -.0089997    .0008766
_AcodXg~98_2 |  -.0016871   .0050368    -0.33   0.740    -.0119344    .0085603
_AcodXg~98_3 |   .0160237   .0109893     1.46   0.154    -.0063341    .0383815
_AcodXg~98_4 |   .0206494   .0059342     3.48   0.001     .0085762    .0327226
_AcodX~120_2 |  -.0092295    .004888    -1.89   0.068    -.0191742    .0007153
_AcodX~120_3 |    -.08482   .0141872    -5.98   0.000    -.1136841   -.0559558
_AcodX~120_4 |   .0011783   .0076341     0.15   0.878    -.0143535    .0167101
_AcodX~104_2 |   .0012764   .0097784     0.13   0.897    -.0186178    .0211706
_AcodX~104_3 |   .0371255   .0188221     1.97   0.057    -.0011685    .0754194
_AcodX~104_4 |   .0051324   .0096244     0.53   0.597    -.0144485    .0247133
_AcodXg~53_2 |  -.0175474   .0072144    -2.43   0.021    -.0322252   -.0028695
_AcodXg~53_3 |  -.0382614   .0111428    -3.43   0.002    -.0609315   -.0155913
_AcodXg~53_4 |  -.0160197   .0050933    -3.15   0.004     -.026382   -.0056573
_AcodX~102_2 |   .0207485   .0072561     2.86   0.007     .0059859    .0355111
_AcodX~102_3 |  -.0877202   .0136159    -6.44   0.000     -.115422   -.0600185
_AcodX~102_4 |   .0194794    .006437     3.03   0.005     .0063832    .0325756
_AcodXg~67_2 |  -.0008979   .0094552    -0.09   0.925    -.0201347    .0183388
_AcodXg~67_3 |  -.0244091    .017805    -1.37   0.180    -.0606337    .0118156
_AcodXg~67_4 |   -.007229   .0109201    -0.66   0.513    -.0294461    .0149881
_AcodX~114_2 |   -.014456   .0067366    -2.15   0.039    -.0281617   -.0007502
_AcodX~114_3 |  -.0593839   .0106745    -5.56   0.000    -.0811014   -.0376664
_AcodX~114_4 |   -.016293   .0058113    -2.80   0.008    -.0281162   -.0044698
_AcodXg~56_2 |   .0027991    .008285     0.34   0.738    -.0140568     .019655
_AcodXg~56_3 |  -.0403309   .0125577    -3.21   0.003    -.0658797   -.0147821
_AcodXg~56_4 |   .0156723   .0082385     1.90   0.066    -.0010891    .0324336
_AcodX~014_2 |  -.0179525   .0045804    -3.92   0.000    -.0272714   -.0086337
_AcodX~014_3 |  -.0101776   .0068496    -1.49   0.147    -.0241133    .0037581
_AcodX~014_4 |  -.0092959   .0032268    -2.88   0.007    -.0158609    -.002731
_AcodX~004_2 |  -.0059036   .0081868    -0.72   0.476    -.0225599    .0107526
_AcodX~004_3 |   .0544825   .0137016     3.98   0.000     .0266064    .0823586
_AcodX~004_4 |    .008444   .0065131     1.30   0.204    -.0048071     .021695
_Acod~4028_2 |  -.0095687   .0073154    -1.31   0.200     -.024452    .0053146
_Acod~4028_3 |  -.0121152   .0090195    -1.34   0.188    -.0304654    .0062351
_Acod~4028_4 |  -.0021944   .0056006    -0.39   0.698    -.0135889    .0092001
_AcodXg~06_2 |   .0152089   .0089625     1.70   0.099    -.0030255    .0334432
_AcodXg~06_3 |     -.0378   .0174441    -2.17   0.038    -.0732902   -.0023098
_AcodXg~06_4 |   .0212958   .0089797     2.37   0.024     .0030265    .0395651
_AcodXg~12_2 |  -.0005931   .0065954    -0.09   0.929    -.0140115    .0128252
_AcodXg~12_3 |  -.1205334   .0112725   -10.69   0.000    -.1434675   -.0975994
_AcodXg~12_4 |   .0004429   .0042394     0.10   0.917    -.0081822     .009068
_AcodXg~18_2 |   .0806824   .0130248     6.19   0.000     .0541833    .1071814
_AcodXg~18_3 |  -.0786718   .0233223    -3.37   0.002    -.1261215   -.0312222
_AcodXg~18_4 |   .0385938   .0125384     3.08   0.004     .0130843    .0641034
_AcodXg~05_2 |   .0132598   .0104722     1.27   0.214     -.008046    .0345657
_AcodXg~05_3 |  -.0103713   .0164575    -0.63   0.533    -.0438543    .0231117
_AcodXg~05_4 |   .0015919   .0104716     0.15   0.880    -.0197127    .0228966
_Acod~0028_2 |   .0027063   .0090265     0.30   0.766    -.0156583    .0210709
_Acod~0028_3 |  -.0626547   .0176852    -3.54   0.001    -.0986356   -.0266739
_Acod~0028_4 |  -.0095413   .0074951    -1.27   0.212    -.0247902    .0057077
_AcodXg~44_2 |   .0060235     .00661     0.91   0.369    -.0074247    .0194717
_AcodXg~44_3 |    -.07164   .0098531    -7.27   0.000    -.0916862   -.0515938
_AcodXg~44_4 |   .0038552   .0055207     0.70   0.490    -.0073767    .0150872
_AcodXg~50_2 |   .0103965   .0035496     2.93   0.006     .0031748    .0176182
_AcodXg~50_3 |  -.0571874   .0047579   -12.02   0.000    -.0668675   -.0475074
_AcodXg~50_4 |   .0041282   .0034097     1.21   0.235    -.0028088    .0110652
       _cons |   .1120275   .0162081     6.91   0.000     .0790518    .1450031
------------------------------------------------------------------------------

. ** Columns 4 & 5;
. sort code quarter;

. merge code quarter using prices_quarterly;
variables code quarter do not uniquely identify observations in the master data
quarter was int now float

. drop if index_quarter==.;
(280913 observations deleted)

. drop _m;

. g inc4=income^(1/4);
(36749 missing values generated)

. g rlnincome=ln(income/index_quarter*100);
(308716 missing values generated)

. g rinc4=(income/index_quarter*100)^(1/4);
(36749 missing values generated)

. reg rlnincome sarep* female* married* edad* primary* secondary* highschool* university* pan* aligned* *trend* _I* _A* if pn
> otempl==0, cluster(code);

Linear regression                                      Number of obs =  419718
                                                       F( 19,    19) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.3868
                                                       Root MSE      =  .57708

                                  (Std. Err. adjusted for 20 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   rlnincome |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 sarepregist |  -.0295865   .0201075    -1.47   0.158     -.071672     .012499
sarepnonre~t |    .015274   .0235761     0.65   0.525    -.0340713    .0646193
 sarepworker |  -.0020559   .0074751    -0.28   0.786    -.0177015    .0135897
sarepnotempl |  (dropped)
      female |  -.4223301   .0191052   -22.11   0.000    -.4623178   -.3823425
female_non~t |  -.2272722   .0290466    -7.82   0.000    -.2880674   -.1664771
female_wor~r |   .1741545   .0196787     8.85   0.000     .1329664    .2153426
female_not~l |  (dropped)
     married |   .1474408   .0090531    16.29   0.000     .1284924    .1663892
married_no~t |  -.0518252   .0141747    -3.66   0.002    -.0814932   -.0221571
married_wo~r |   .0083158   .0134924     0.62   0.545    -.0199242    .0365557
married_no~l |  (dropped)
        edad |   .0040347   .0007917     5.10   0.000     .0023776    .0056918
edad_nonre~t |  -.0079832   .0010878    -7.34   0.000      -.01026   -.0057064
edad_worke~r |   .0037108   .0010361     3.58   0.002     .0015423    .0058793
edad_notempl |  (dropped)
     primary |    .169122   .0198496     8.52   0.000     .1275762    .2106678
primary_no~t |  -.0476299   .0184201    -2.59   0.018    -.0861836   -.0090763
primary_wo~r |   .0175388    .020655     0.85   0.406    -.0256926    .0607702
primary_no~l |  (dropped)
   secondary |   .3502749   .0222629    15.73   0.000     .3036781    .3968717
secondary_~t |  -.1606752   .0224621    -7.15   0.000    -.2076888   -.1136615
secondary_~r |  -.0029075   .0287768    -0.10   0.921    -.0631381    .0573231
secondary_~l |  (dropped)
  highschool |   .5255031   .0181046    29.03   0.000     .4876097    .5633965
highschool~t |  -.1782986   .0292625    -6.09   0.000    -.2395458   -.1170514
highschool~r |   .0540065   .0315628     1.71   0.103    -.0120552    .1200682
highschool~l |  (dropped)
  university |   .9392051   .0316977    29.63   0.000     .8728611    1.005549
university~t |  -.2518984   .0432306    -5.83   0.000     -.342381   -.1614158
university~r |   .1381111   .0400219     3.45   0.003     .0543443     .221878
university~l |  (dropped)
         pan |  -.0259787   .0194419    -1.34   0.197     -.066671    .0147137
pan_nonreg~t |  -.0050608   .0216222    -0.23   0.817    -.0503166     .040195
pan_worker~r |   .0174348   .0159049     1.10   0.287    -.0158546    .0507242
 pan_notempl |  (dropped)
     aligned |   .0172339    .028525     0.60   0.553    -.0424696    .0769374
aligned_no~t |   .0105088   .0278461     0.38   0.710    -.0477738    .0687913
aligned_wo~r |  -.0171999   .0236708    -0.73   0.476    -.0667433    .0323436
aligned_no~l |  (dropped)
act_fijtrend |   .0000253   .0143947     0.00   0.999    -.0301032    .0301538
form_captr~d |   .0044977   .0073291     0.61   0.547    -.0108423    .0198377
 uni_ectrend |  -.0033849   .0059968    -0.56   0.579    -.0159364    .0091666
 val_agtrend |  -.0096256    .008314    -1.16   0.261     -.027027    .0077757
act_fijtre~t |   .0034059   .0168293     0.20   0.842    -.0318182    .0386301
act_fijtre~r |  -.0021713   .0093943    -0.23   0.820    -.0218337    .0174912
act_fijtre~l |  (dropped)
form_captr~t |  -.0060887   .0073731    -0.83   0.419    -.0215207    .0093434
form_captr~r |  -.0001424   .0053603    -0.03   0.979    -.0113616    .0110769
form_captr~l |  (dropped)
uni_ectren~t |   .0055143   .0055598     0.99   0.334    -.0061225    .0171512
uni_ectren~r |   .0057713   .0034481     1.67   0.111    -.0014456    .0129883
uni_ectren~l |  (dropped)
val_agtren~t |   .0026675   .0095685     0.28   0.783    -.0173595    .0226945
val_agtren~r |   .0025478   .0054321     0.47   0.644    -.0088218    .0139173
val_agtren~l |  (dropped)
_Iquar~20004 |   .0856661   .0542206     1.58   0.131    -.0278189    .1991511
_Iquar~20011 |   .1875863   .0915253     2.05   0.054    -.0039784     .379151
_Iquar~20012 |   .2678953   .1336687     2.00   0.060    -.0118764     .547667
_Iquar~20013 |   .3739272   .1708138     2.19   0.041     .0164097    .7314446
_Iquar~20014 |   .4114413   .2199555     1.87   0.077    -.0489308    .8718134
_Iquar~20021 |    .489624   .2717461     1.80   0.087    -.0791473    1.058395
_Iquar~20022 |   .5762788   .3170082     1.82   0.085    -.0872269    1.239784
_Iquar~20023 |   .6376554   .3528694     1.81   0.087    -.1009088     1.37622
_Iquar~20024 |   .7079301   .3998883     1.77   0.093    -.1290456    1.544906
_Iquar~20031 |   .7618137   .4469245     1.70   0.105    -.1736101    1.697238
_Iquar~20032 |   .8495116   .4871162     1.74   0.097    -.1700343    1.869058
_Iquar~20033 |   .9463303   .5371287     1.76   0.094     -.177893    2.070554
_Iquar~20034 |   .9889484   .5787562     1.71   0.104    -.2224023    2.200299
_Iquar~20041 |   1.048525   .6347378     1.65   0.115    -.2799964    2.377047
_Iquar~20042 |   1.154309   .6743913     1.71   0.103    -.2572085    2.565826
_Iquar~20043 |   1.181345   .7245119     1.63   0.119    -.3350759    2.697766
_Iquar~20044 |   1.246322   .7623122     1.63   0.119    -.3492153     2.84186
   _Igroup_2 |   .1345706    .110664     1.22   0.239    -.0970518    .3661929
   _Igroup_3 |  -.3276482   .0907777    -3.61   0.002    -.5176482   -.1376482
   _Igroup_4 |  (dropped)
_IquaXg~04_2 |  -.0318854   .0590167    -0.54   0.595    -.1554088    .0916379
_IquaXg~04_3 |  -.0309587      .0417    -0.74   0.467    -.1182378    .0563205
_IquaXg~04_4 |  (dropped)
_IquaXg~11_2 |  -.0884988   .1018236    -0.87   0.396    -.3016181    .1246205
_IquaXg~11_3 |  -.0630127   .0594731    -1.06   0.303    -.1874913     .061466
_IquaXg~11_4 |  (dropped)
_IquaXg~12_2 |  -.1117534   .1398928    -0.80   0.434    -.4045523    .1810455
_IquaXg~12_3 |  -.0766383   .0874626    -0.88   0.392    -.2596996     .106423
_IquaXg~12_4 |  (dropped)
_IquaXg~13_2 |   -.147422   .1801921    -0.82   0.423    -.5245683    .2297243
_IquaXg~13_3 |  -.1149573   .1045952    -1.10   0.285    -.3338776     .103963
_IquaXg~13_4 |  (dropped)
_IquaXg~14_2 |  -.1545218   .2254956    -0.69   0.501    -.6264896    .3174459
_IquaXg~14_3 |  -.1032127   .1362508    -0.76   0.458    -.3883889    .1819635
_IquaXg~14_4 |  (dropped)
_IquaXg~21_2 |  -.1777176    .274045    -0.65   0.524    -.7513004    .3958652
_IquaXg~21_3 |  -.1159583     .16657    -0.70   0.495    -.4645933    .2326766
_IquaXg~21_4 |  (dropped)
_IquaXg~22_2 |  -.2084313   .3156215    -0.66   0.517    -.8690347     .452172
_IquaXg~22_3 |  -.1464352   .1954596    -0.75   0.463    -.5555369    .2626665
_IquaXg~22_4 |  (dropped)
_IquaXg~23_2 |  -.2061464    .366245    -0.56   0.580     -.972706    .5604131
_IquaXg~23_3 |  -.1601695   .2165315    -0.74   0.469     -.613375    .2930361
_IquaXg~23_4 |  (dropped)
_IquaXg~24_2 |  -.2575053   .4127585    -0.62   0.540    -1.121419    .6064083
_IquaXg~24_3 |  -.1735755   .2439768    -0.71   0.485    -.6842247    .3370737
_IquaXg~24_4 |  (dropped)
_IquaXg~31_2 |  -.3005694    .463427    -0.65   0.524    -1.270533    .6693944
_IquaXg~31_3 |  -.1883186   .2711441    -0.69   0.496    -.7558297    .3791925
_IquaXg~31_4 |  (dropped)
_IquaXg~32_2 |  -.3327057   .5062961    -0.66   0.519    -1.392396    .7269841
_IquaXg~32_3 |  -.2106634   .2960245    -0.71   0.485    -.8302497     .408923
_IquaXg~32_4 |  (dropped)
_IquaXg~33_2 |  -.3720387   .5581069    -0.67   0.513     -1.54017    .7960925
_IquaXg~33_3 |  -.2432723   .3258552    -0.75   0.464     -.925295    .4387504
_IquaXg~33_4 |  (dropped)
_IquaXg~34_2 |  -.3699764   .5930761    -0.62   0.540    -1.611299    .8713462
_IquaXg~34_3 |  -.2477083   .3503477    -0.71   0.488    -.9809945    .4855779
_IquaXg~34_4 |  (dropped)
_IquaXg~41_2 |  -.4348369   .6427217    -0.68   0.507    -1.780069     .910395
_IquaXg~41_3 |  -.2618077   .3854732    -0.68   0.505    -1.068612    .5449971
_IquaXg~41_4 |  (dropped)
_IquaXg~42_2 |  -.4951879   .6909344    -0.72   0.482     -1.94133    .9509544
_IquaXg~42_3 |  -.3041544    .407994    -0.75   0.465    -1.158096    .5497869
_IquaXg~42_4 |  (dropped)
_IquaXg~43_2 |  -.4395423   .7267141    -0.60   0.552    -1.960572    1.081488
_IquaXg~43_3 |  -.2818889   .4409389    -0.64   0.530    -1.204785     .641007
_IquaXg~43_4 |  (dropped)
_IquaXg~44_2 |  -.5208403   .8048965    -0.65   0.525    -2.205508    1.163828
_IquaXg~44_3 |  -.3061241   .4623236    -0.66   0.516    -1.273779    .6615304
_IquaXg~44_4 |  (dropped)
 _Acode_2001 |  (dropped)
 _Acode_2002 |   .4720361   .0668062     7.07   0.000      .332209    .6118631
 _Acode_3008 |  (dropped)
 _Acode_4002 |  -.3073357   .0358304    -8.58   0.000    -.3823296   -.2323418
 _Acode_5035 |   .1560301   .0410343     3.80   0.001     .0701443     .241916
 _Acode_7089 |  -.4608019   .0875215    -5.27   0.000    -.6439865   -.2776172
_Acode_11007 |  (dropped)
_Acode_11017 |  (dropped)
_Acode_11020 |   .2864467   .0270758    10.58   0.000     .2297765    .3431169
_Acode_11023 |  (dropped)
_Acode_11027 |  (dropped)
_Acode_11028 |  (dropped)
_Acode_11035 |  (dropped)
_Acode_13048 |  (dropped)
_Acode_14039 |   .1468375   .0222081     6.61   0.000     .1003553    .1933196
_Acode_14098 |   .0656707   .0384218     1.71   0.104     -.014747    .1460885
_Acode_14120 |   .2543236   .0444664     5.72   0.000     .1612543    .3473928
_Acode_15104 |  -.0273278   .0510657    -0.54   0.599    -.1342096    .0795539
_Acode_16053 |  -.1293339   .0263055    -4.92   0.000    -.1843921   -.0742758
_Acode_16102 |  (dropped)
_Acode_20067 |  -.1499063   .0512718    -2.92   0.009    -.2572194   -.0425933
_Acode_21114 |  -.1863493   .0396475    -4.70   0.000    -.2693326   -.1033661
_Acode_21156 |  (dropped)
_Acode_22014 |   .1225108   .0345255     3.55   0.002      .050248    .1947736
_Acode_23004 |  -.1831878   .0602324    -3.04   0.007    -.3092557     -.05712
_Acode_24028 |   .0156135   .0503684     0.31   0.760    -.0898089    .1210359
_Acode_25006 |   .0584345   .0573227     1.02   0.321    -.0615432    .1784122
_Acode_25012 |  (dropped)
_Acode_25018 |  (dropped)
_Acode_29005 |  (dropped)
_Acode_30028 |   .0799145   .0836914     0.95   0.352    -.0952537    .2550826
_Acode_30044 |  -.1889012   .0457205    -4.13   0.001    -.2845953    -.093207
_Acode_31050 |  -.0699267   .0362925    -1.93   0.069    -.1458878    .0060344
_AcodXgr~1_2 |  (dropped)
_AcodXgr~1_3 |  (dropped)
_AcodXgr~1_4 |  (dropped)
_Acod~2002_2 |   .0044494   .0621004     0.07   0.944    -.1255282     .134427
_Acod~2002_3 |  -.1519698   .0380275    -4.00   0.001    -.2315623   -.0723774
_Acod~2002_4 |  (dropped)
_AcodXg~08_2 |  (dropped)
_AcodXg~08_3 |  (dropped)
_AcodXg~08_4 |  (dropped)
_Acod~4002_2 |  -.2526309   .0433694    -5.83   0.000    -.3434041   -.1618577
_Acod~4002_3 |  -.0905611   .0283487    -3.19   0.005    -.1498957   -.0312265
_Acod~4002_4 |  (dropped)
_Acod~5035_2 |  -.0686583   .0333797    -2.06   0.054    -.1385228    .0012061
_Acod~5035_3 |  -.1668672    .031824    -5.24   0.000    -.2334755   -.1002589
_Acod~5035_4 |  (dropped)
_AcodXg~89_2 |  -.3979014   .0900608    -4.42   0.000    -.5864008    -.209402
_AcodXg~89_3 |  -.1892612   .0604505    -3.13   0.006    -.3157857   -.0627368
_AcodXg~89_4 |  (dropped)
_AcodXg~07_2 |  (dropped)
_AcodXg~07_3 |  (dropped)
_AcodXg~07_4 |  (dropped)
_AcodXg~17_2 |  (dropped)
_AcodXg~17_3 |  (dropped)
_AcodXg~17_4 |  (dropped)
_AcodX~020_2 |  -.0620572   .0286655    -2.16   0.043    -.1220547   -.0020598
_AcodX~020_3 |  -.1691518   .0209586    -8.07   0.000    -.2130186    -.125285
_AcodX~020_4 |  (dropped)
_AcodXg~23_2 |  (dropped)
_AcodXg~23_3 |  (dropped)
_AcodXg~23_4 |  (dropped)
_AcodXg~27_2 |  (dropped)
_AcodXg~27_3 |  (dropped)
_AcodXg~27_4 |  (dropped)
_Acod~1028_2 |  (dropped)
_Acod~1028_3 |  (dropped)
_Acod~1028_4 |  (dropped)
_Acod~1035_2 |  (dropped)
_Acod~1035_3 |  (dropped)
_Acod~1035_4 |  (dropped)
_AcodXg~48_2 |  (dropped)
_AcodXg~48_3 |  (dropped)
_AcodXg~48_4 |  (dropped)
_AcodXg~39_2 |  -.0689834   .0207654    -3.32   0.004    -.1124458    -.025521
_AcodXg~39_3 |  -.0690006   .0171538    -4.02   0.001    -.1049039   -.0330973
_AcodXg~39_4 |  (dropped)
_AcodXg~98_2 |  -.0298401   .0337143    -0.89   0.387     -.100405    .0407248
_AcodXg~98_3 |   .0097824   .0252542     0.39   0.703    -.0430753    .0626402
_AcodXg~98_4 |  (dropped)
_AcodX~120_2 |  -.0081909   .0406504    -0.20   0.842    -.0932732    .0768914
_AcodX~120_3 |  -.1326304   .0239945    -5.53   0.000    -.1828515   -.0824093
_AcodX~120_4 |  (dropped)
_AcodX~104_2 |   .0407148   .0477264     0.85   0.404    -.0591778    .1406073
_AcodX~104_3 |   .0292083    .033562     0.87   0.395    -.0410378    .0994545
_AcodX~104_4 |  (dropped)
_AcodXg~53_2 |   .0476947   .0314214     1.52   0.146    -.0180711    .1134604
_AcodXg~53_3 |  -.0229841   .0223383    -1.03   0.316    -.0697386    .0237704
_AcodXg~53_4 |  (dropped)
_AcodX~102_2 |  (dropped)
_AcodX~102_3 |  (dropped)
_AcodX~102_4 |  (dropped)
_AcodXg~67_2 |  -.0358453   .0655024    -0.55   0.591    -.1729435    .1012529
_AcodXg~67_3 |  -.0666514   .0372972    -1.79   0.090    -.1447154    .0114126
_AcodXg~67_4 |  (dropped)
_AcodX~114_2 |   .0957227   .0390516     2.45   0.024     .0139867    .1774587
_AcodX~114_3 |   .0626218   .0311499     2.01   0.059    -.0025758    .1278193
_AcodX~114_4 |  (dropped)
_AcodXg~56_2 |  (dropped)
_AcodXg~56_3 |  (dropped)
_AcodXg~56_4 |  (dropped)
_AcodX~014_2 |  -.1120326   .0332407    -3.37   0.003    -.1816062   -.0424591
_AcodX~014_3 |  -.0127015   .0279926    -0.45   0.655    -.0712906    .0458876
_AcodX~014_4 |  (dropped)
_AcodX~004_2 |  -.5617277   .0504375   -11.14   0.000    -.6672945   -.4561608
_AcodX~004_3 |   -.080312   .0428967    -1.87   0.077    -.1700957    .0094717
_AcodX~004_4 |  (dropped)
_Acod~4028_2 |  -.1211971   .0356151    -3.40   0.003    -.1957404   -.0466538
_Acod~4028_3 |  -.0844934   .0382398    -2.21   0.040    -.1645302   -.0044567
_Acod~4028_4 |  (dropped)
_AcodXg~06_2 |  -.0908562   .0490294    -1.85   0.079     -.193476    .0117635
_AcodXg~06_3 |  -.1330226   .0345337    -3.85   0.001    -.2053025   -.0607427
_AcodXg~06_4 |  (dropped)
_AcodXg~12_2 |  (dropped)
_AcodXg~12_3 |  (dropped)
_AcodXg~12_4 |  (dropped)
_AcodXg~18_2 |  (dropped)
_AcodXg~18_3 |  (dropped)
_AcodXg~18_4 |  (dropped)
_AcodXg~05_2 |  (dropped)
_AcodXg~05_3 |  (dropped)
_AcodXg~05_4 |  (dropped)
_Acod~0028_2 |  -.2035763   .1015152    -2.01   0.059      -.41605    .0088973
_Acod~0028_3 |  -.2143925   .0604955    -3.54   0.002     -.341011    -.087774
_Acod~0028_4 |  (dropped)
_AcodXg~44_2 |  -.2393569   .0543222    -4.41   0.000    -.3530546   -.1256592
_AcodXg~44_3 |  -.1659562   .0334387    -4.96   0.000    -.2359443   -.0959682
_AcodXg~44_4 |  (dropped)
_AcodXg~50_2 |  -.3183473   .0431774    -7.37   0.000    -.4087186    -.227976
_AcodXg~50_3 |  -.1903566   .0248655    -7.66   0.000    -.2424006   -.1383126
_AcodXg~50_4 |  (dropped)
       _cons |    7.80563   .1082788    72.09   0.000        7.579    8.032261
------------------------------------------------------------------------------

. reg rinc4 sarep* female* married* edad* primary* secondary* highschool* university* pan* aligned* *trend* _I* _A*, cluster(
> code);

Linear regression                                      Number of obs =  733679
                                                       F( 19,    19) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5553
                                                       Root MSE      =  2.5976

                                  (Std. Err. adjusted for 20 clusters in code)
------------------------------------------------------------------------------
             |               Robust
       rinc4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 sarepregist |  -.0430576   .0452833    -0.95   0.354    -.1378366    .0517214
sarepnonre~t |   .0808027   .0515733     1.57   0.134    -.0271414    .1887469
 sarepworker |  -.0417781   .0281014    -1.49   0.154     -.100595    .0170388
sarepnotempl |   .0594173   .0301718     1.97   0.064    -.0037329    .1225675
      female |  -2.395983   .1259869   -19.02   0.000    -2.659676   -2.132289
female_non~t |   -.626305   .0925177    -6.77   0.000    -.8199468   -.4326633
female_wor~r |   .8235494   .0915974     8.99   0.000     .6318337    1.015265
female_not~l |   1.050311   .1291747     8.13   0.000     .7799449    1.320676
     married |   .1657187   .0501958     3.30   0.004     .0606576    .2707798
married_no~t |  -.2523753   .0685841    -3.68   0.002    -.3959235   -.1088271
married_wo~r |   .0135828   .0797849     0.17   0.867    -.1534089    .1805746
married_no~l |  -.4681994   .0779577    -6.01   0.000    -.6313667   -.3050322
        edad |   .0005529   .0029548     0.19   0.854    -.0056315    .0067372
edad_nonre~t |  -.0133542      .0038    -3.51   0.002    -.0213076   -.0054007
edad_worke~r |   .0222954   .0034537     6.46   0.000     .0150668     .029524
edad_notempl |  -.0136613   .0027955    -4.89   0.000    -.0195123   -.0078102
     primary |   .3600453   .0671286     5.36   0.000     .2195435    .5005471
primary_no~t |  -.2261551   .0709652    -3.19   0.005     -.374687   -.0776232
primary_wo~r |    .138909   .0660307     2.10   0.049     .0007051    .2771129
primary_no~l |  -.2538656   .0730158    -3.48   0.003    -.4066894   -.1010419
   secondary |   .6776812   .0796051     8.51   0.000     .5110658    .8442966
secondary_~t |  -.5520837   .1017153    -5.43   0.000    -.7649763   -.3391911
secondary_~r |   .2326546   .0829229     2.81   0.011      .059095    .4062141
secondary_~l |  -.4934642   .0851549    -5.79   0.000    -.6716955   -.3152329
  highschool |   .9159112   .0850936    10.76   0.000     .7378083    1.094014
highschool~t |  -.8065223   .1493028    -5.40   0.000    -1.119017   -.4940279
highschool~r |   .3505506   .0876539     4.00   0.001      .167089    .5340123
highschool~l |  -1.068109    .091502   -11.67   0.000    -1.259624   -.8765928
  university |   1.905444   .0903754    21.08   0.000     1.716286    2.094602
university~t |   -1.15952   .1976298    -5.87   0.000    -1.573164   -.7458759
university~r |    .846711   .1080188     7.84   0.000     .6206251    1.072797
university~l |  -.9626945   .0891534   -10.80   0.000    -1.149295   -.7760942
         pan |   .1011353   .0549718     1.84   0.081     -.013922    .2161927
pan_nonreg~t |  -.1411438   .0561746    -2.51   0.021    -.2587186   -.0235691
pan_worker~r |   -.104435   .0462607    -2.26   0.036    -.2012598   -.0076102
 pan_notempl |  -.0502341   .0527346    -0.95   0.353    -.1606089    .0601408
     aligned |   .0994857   .0570581     1.74   0.097    -.0199383    .2189097
aligned_no~t |  -.0392387   .0671561    -0.58   0.566     -.179798    .1013205
aligned_wo~r |  -.0705037   .0580074    -1.22   0.239    -.1919146    .0509073
aligned_no~l |  -.0825387   .0580332    -1.42   0.171    -.2040035    .0389262
act_fijtrend |    -.00762   .0240256    -0.32   0.755    -.0579062    .0426662
form_captr~d |   .0047583   .0147973     0.32   0.751    -.0262128    .0357294
 uni_ectrend |   .0079966   .0131506     0.61   0.550    -.0195279    .0355211
 val_agtrend |  -.0161319   .0195584    -0.82   0.420    -.0570681    .0248044
act_fijtre~t |  -.0013749   .0179553    -0.08   0.940    -.0389559     .036206
act_fijtre~r |  -.0020467   .0148103    -0.14   0.892    -.0330449    .0289516
act_fijtre~l |   .0015637   .0202488     0.08   0.939    -.0408176     .043945
form_captr~t |  -.0040185   .0081464    -0.49   0.627    -.0210691    .0130321
form_captr~r |  -.0017209   .0109602    -0.16   0.877     -.024661    .0212192
form_captr~l |  -.0024799   .0110924    -0.22   0.825    -.0256965    .0207367
uni_ectren~t |   -.016365    .008938    -1.83   0.083    -.0350724    .0023425
uni_ectren~r |  -.0009381   .0110932    -0.08   0.933    -.0241566    .0222803
uni_ectren~l |  -.0164417   .0081586    -2.02   0.058    -.0335179    .0006344
val_agtren~t |    .000287   .0155667     0.02   0.985    -.0322944    .0328684
val_agtren~r |   .0054218   .0141477     0.38   0.706    -.0241896    .0350333
val_agtren~l |   .0147216   .0115574     1.27   0.218    -.0094683    .0389114
_Iquar~20004 |   .2097123   .1625614     1.29   0.213    -.1305327    .5499572
_Iquar~20011 |    .392796    .277695     1.41   0.173    -.1884264    .9740184
_Iquar~20012 |   .4855569   .4097654     1.18   0.251    -.3720919    1.343206
_Iquar~20013 |   .6864971   .5135006     1.34   0.197    -.3882721    1.761266
_Iquar~20014 |   .8747784   .6305816     1.39   0.181    -.4450441    2.194601
_Iquar~20021 |    1.04928   .7665303     1.37   0.187     -.555086    2.653647
_Iquar~20022 |    1.19817   .8805659     1.36   0.190    -.6448757    3.041215
_Iquar~20023 |   1.266801   .9895432     1.28   0.216    -.8043362    3.337939
_Iquar~20024 |   1.477601   1.116963     1.32   0.202    -.8602293    3.815432
_Iquar~20031 |   1.550494   1.248164     1.24   0.229    -1.061943    4.162931
_Iquar~20032 |   1.760677    1.38036     1.28   0.218     -1.12845    4.649803
_Iquar~20033 |   2.015223   1.506491     1.34   0.197    -1.137899    5.168345
_Iquar~20034 |   2.050872   1.661449     1.23   0.232     -1.42658    5.528324
_Iquar~20041 |   2.246555   1.803245     1.25   0.228     -1.52768    6.020791
_Iquar~20042 |   2.528894   1.880158     1.35   0.194    -1.406321     6.46411
_Iquar~20043 |    2.60058   1.997871     1.30   0.209    -1.581011    6.782172
_Iquar~20044 |   2.819297    2.12935     1.32   0.201    -1.637485    7.276079
   _Igroup_2 |   .5619832   .2998255     1.87   0.076    -.0655588    1.189525
   _Igroup_3 |  -1.218392   .2808185    -4.34   0.000    -1.806151   -.6306317
   _Igroup_4 |  -4.217629   .2324082   -18.15   0.000    -4.704065   -3.731194
_IquaXg~04_2 |   .1303957   .1054958     1.24   0.232    -.0904096     .351201
_IquaXg~04_3 |   -.133219   .1323164    -1.01   0.327    -.4101603    .1437224
_IquaXg~04_4 |  -.0600705   .1159684    -0.52   0.610    -.3027951    .1826541
_IquaXg~11_2 |   .1024362   .1598688     0.64   0.529    -.2321731    .4370456
_IquaXg~11_3 |   -.199108   .1917074    -1.04   0.312    -.6003562    .2021402
_IquaXg~11_4 |  -.1838017   .1869091    -0.98   0.338     -.575007    .2074036
_IquaXg~12_2 |   .3324603   .2471676     1.35   0.194    -.1848674    .8497879
_IquaXg~12_3 |  -.1332807   .2871534    -0.46   0.648    -.7342997    .4677383
_IquaXg~12_4 |  -.1725956    .272763    -0.63   0.534    -.7434951    .3983038
_IquaXg~13_2 |   .3788549   .3137761     1.21   0.242     -.277886    1.035596
_IquaXg~13_3 |  -.1574351   .3550479    -0.44   0.662    -.9005589    .5856888
_IquaXg~13_4 |  -.2782946   .3412978    -0.82   0.425    -.9926391    .4360499
_IquaXg~14_2 |   .4808514   .3923498     1.23   0.235    -.3403462    1.302049
_IquaXg~14_3 |  -.1853554   .4168347    -0.44   0.662      -1.0578    .6870896
_IquaXg~14_4 |   -.349141   .4132633    -0.84   0.409    -1.214111    .5158291
_IquaXg~21_2 |   .6112773   .4649741     1.31   0.204    -.3619248    1.584479
_IquaXg~21_3 |  -.2414606   .5110113    -0.47   0.642     -1.31102    .8280983
_IquaXg~21_4 |  -.4770407   .4773992    -1.00   0.330    -1.476249    .5221673
_IquaXg~22_2 |   .6995685   .5244806     1.33   0.198    -.3981821    1.797319
_IquaXg~22_3 |  -.2269828   .5616799    -0.40   0.691    -1.402592    .9486268
_IquaXg~22_4 |  -.5364409   .5627313    -0.95   0.352    -1.714251    .6413693
_IquaXg~23_2 |   .9017351   .6093627     1.48   0.155    -.3736757    2.177146
_IquaXg~23_3 |   -.146671   .6470164    -0.23   0.823    -1.500892     1.20755
_IquaXg~23_4 |  -.5150656   .6221234    -0.83   0.418    -1.817185    .7870536
_IquaXg~24_2 |   .9717033   .6863276     1.42   0.173    -.4647969    2.408203
_IquaXg~24_3 |   -.198477   .7077889    -0.28   0.782    -1.679896    1.282942
_IquaXg~24_4 |  -.5628438   .7073665    -0.80   0.436    -2.043379    .9176914
_IquaXg~31_2 |   1.116655   .7311663     1.53   0.143    -.4136941    2.647003
_IquaXg~31_3 |  -.1114811   .7833378    -0.14   0.888    -1.751026    1.528064
_IquaXg~31_4 |  -.5724165   .7811577    -0.73   0.473    -2.207398    1.062565
_IquaXg~32_2 |   1.158977   .8399232     1.38   0.184    -.5990027    2.916956
_IquaXg~32_3 |  -.1690649   .8712716    -0.19   0.848    -1.992657    1.654527
_IquaXg~32_4 |  -.7673808   .8741509    -0.88   0.391       -2.597    1.062238
_IquaXg~33_2 |   1.267908   .9133529     1.39   0.181    -.6437616    3.179578
_IquaXg~33_3 |  -.2671107   .9483468    -0.28   0.781    -2.252023    1.717802
_IquaXg~33_4 |   -.875616   .9576306    -0.91   0.372     -2.87996    1.128728
_IquaXg~34_2 |   1.500641   .9980221     1.50   0.149    -.5882435    3.589525
_IquaXg~34_3 |  -.1611255   1.029492    -0.16   0.877    -2.315876    1.993625
_IquaXg~34_4 |  -.8464003   1.060871    -0.80   0.435     -3.06683    1.374029
_IquaXg~41_2 |   1.359843   1.076584     1.26   0.222    -.8934729    3.613158
_IquaXg~41_3 |  -.2404893   1.116448    -0.22   0.832    -2.577242    2.096264
_IquaXg~41_4 |  -.9782449   1.167254    -0.84   0.412    -3.421335    1.464846
_IquaXg~42_2 |   1.564332   1.151102     1.36   0.190    -.8449521    3.973615
_IquaXg~42_3 |  -.2779695   1.131937    -0.25   0.809     -2.64714    2.091201
_IquaXg~42_4 |  -1.058737   1.211612    -0.87   0.393    -3.594669    1.477196
_IquaXg~43_2 |   1.601389   1.244488     1.29   0.214    -1.003355    4.206133
_IquaXg~43_3 |  -.2228871   1.252306    -0.18   0.861    -2.843993    2.398219
_IquaXg~43_4 |  -1.025475   1.277665    -0.80   0.432    -3.699659    1.648709
_IquaXg~44_2 |   1.555779   1.272208     1.22   0.236    -1.106984    4.218542
_IquaXg~44_3 |  -.2814154   1.327914    -0.21   0.834    -3.060772    2.497942
_IquaXg~44_4 |  -1.231693   1.375545    -0.90   0.382    -4.110742    1.647356
 _Acode_2001 |  (dropped)
 _Acode_2002 |    1.07584   .1176981     9.14   0.000      .829495    1.322185
 _Acode_3008 |  (dropped)
 _Acode_4002 |  -.1882596   .1272587    -1.48   0.155    -.4546151    .0780958
 _Acode_5035 |   .6470012   .0965281     6.70   0.000     .4449656    .8490369
 _Acode_7089 |  -.0425774    .187867    -0.23   0.823    -.4357876    .3506327
_Acode_11007 |  (dropped)
_Acode_11017 |  (dropped)
_Acode_11020 |   .5027659   .0625848     8.03   0.000     .3717745    .6337573
_Acode_11023 |  (dropped)
_Acode_11027 |  (dropped)
_Acode_11028 |  (dropped)
_Acode_11035 |  (dropped)
_Acode_13048 |  (dropped)
_Acode_14039 |   .2755056   .0681781     4.04   0.001     .1328072     .418204
_Acode_14098 |  -.0337027   .0879532    -0.38   0.706    -.2177908    .1503854
_Acode_14120 |   .5379506   .0770544     6.98   0.000     .3766739    .6992274
_Acode_15104 |   .1736815   .1120929     1.55   0.138    -.0609316    .4082946
_Acode_16053 |   .0321178   .0904986     0.35   0.727    -.1572979    .2215336
_Acode_16102 |  (dropped)
_Acode_20067 |   -.122681   .0965519    -1.27   0.219    -.3247664    .0794044
_Acode_21114 |  -.2804421   .0870034    -3.22   0.004    -.4625423   -.0983419
_Acode_21156 |  (dropped)
_Acode_22014 |   .1428776    .108539     1.32   0.204    -.0842972    .3700524
_Acode_23004 |  -.0767392   .1409066    -0.54   0.592    -.3716602    .2181817
_Acode_24028 |    .444888   .1008193     4.41   0.000     .2338707    .6559053
_Acode_25006 |   .5287831   .1228959     4.30   0.000     .2715591    .7860071
_Acode_25012 |  (dropped)
_Acode_25018 |  (dropped)
_Acode_29005 |  (dropped)
_Acode_30028 |   .1965901   .1641467     1.20   0.246    -.1469729    .5401532
_Acode_30044 |  -.1981155   .0808483    -2.45   0.024    -.3673328   -.0288981
_Acode_31050 |   .1720286   .0610958     2.82   0.011     .0441536    .2999037
_AcodXgr~1_2 |  (dropped)
_AcodXgr~1_3 |  (dropped)
_AcodXgr~1_4 |  (dropped)
_Acod~2002_2 |  -.2077765    .076897    -2.70   0.014    -.3687238   -.0468292
_Acod~2002_3 |  -.5988528   .0524884   -11.41   0.000    -.7087122   -.4889934
_Acod~2002_4 |  -.6470965   .0810815    -7.98   0.000     -.816802    -.477391
_AcodXg~08_2 |  (dropped)
_AcodXg~08_3 |  (dropped)
_AcodXg~08_4 |  (dropped)
_Acod~4002_2 |  -.2857871    .115165    -2.48   0.023    -.5268303   -.0447439
_Acod~4002_3 |  -.4176918   .0854089    -4.89   0.000    -.5964548   -.2389289
_Acod~4002_4 |   .2138502   .0921033     2.32   0.032     .0210759    .4066246
_Acod~5035_2 |  -.2017749   .0708452    -2.85   0.010    -.3500556   -.0534941
_Acod~5035_3 |  -.5528537    .089427    -6.18   0.000    -.7400266   -.3656809
_Acod~5035_4 |  -.4888048   .0907367    -5.39   0.000    -.6787189   -.2988908
_AcodXg~89_2 |  -.6524298   .1370808    -4.76   0.000    -.9393432   -.3655164
_AcodXg~89_3 |  -1.214876   .1297224    -9.37   0.000    -1.486388   -.9433638
_AcodXg~89_4 |   .1671573   .1517589     1.10   0.284    -.1504777    .4847923
_AcodXg~07_2 |  (dropped)
_AcodXg~07_3 |  (dropped)
_AcodXg~07_4 |  (dropped)
_AcodXg~17_2 |  (dropped)
_AcodXg~17_3 |  (dropped)
_AcodXg~17_4 |  (dropped)
_AcodX~020_2 |  -.0224174   .0381331    -0.59   0.564    -.1022309     .057396
_AcodX~020_3 |  -.3406854   .0467344    -7.29   0.000    -.4385017   -.2428691
_AcodX~020_4 |  -.3461161   .0442017    -7.83   0.000    -.4386313    -.253601
_AcodXg~23_2 |  (dropped)
_AcodXg~23_3 |  (dropped)
_AcodXg~23_4 |  (dropped)
_AcodXg~27_2 |  (dropped)
_AcodXg~27_3 |  (dropped)
_AcodXg~27_4 |  (dropped)
_Acod~1028_2 |  (dropped)
_Acod~1028_3 |  (dropped)
_Acod~1028_4 |  (dropped)
_Acod~1035_2 |  (dropped)
_Acod~1035_3 |  (dropped)
_Acod~1035_4 |  (dropped)
_AcodXg~48_2 |  (dropped)
_AcodXg~48_3 |  (dropped)
_AcodXg~48_4 |  (dropped)
_AcodXg~39_2 |  -.0462568   .0382282    -1.21   0.241    -.1262693    .0337558
_AcodXg~39_3 |  -.3972726   .0591047    -6.72   0.000    -.5209801    -.273565
_AcodXg~39_4 |  -.2220523   .0450258    -4.93   0.000    -.3162924   -.1278122
_AcodXg~98_2 |   .3111038   .0437367     7.11   0.000     .2195619    .4026458
_AcodXg~98_3 |  -.0615621   .0562505    -1.09   0.287    -.1792957    .0561715
_AcodXg~98_4 |   .0645787   .0553143     1.17   0.257    -.0511954    .1803528
_AcodX~120_2 |  -.0404416    .052777    -0.77   0.453     -.150905    .0700219
_AcodX~120_3 |  -.5861479   .0456029   -12.85   0.000    -.6815959   -.4906999
_AcodX~120_4 |  -.5692702   .0525681   -10.83   0.000    -.6792964    -.459244
_AcodX~104_2 |  -.1023974   .0959786    -1.07   0.299    -.3032828    .0984881
_AcodX~104_3 |  -.1694806   .0889507    -1.91   0.072    -.3556566    .0166953
_AcodX~104_4 |  -.1498559   .0650472    -2.30   0.033    -.2860012   -.0137106
_AcodXg~53_2 |   .1063713   .0861824     1.23   0.232    -.0740105     .286753
_AcodXg~53_3 |  -.3900611   .0668632    -5.83   0.000    -.5300073   -.2501149
_AcodXg~53_4 |   .0044671   .0742229     0.06   0.953    -.1508833    .1598175
_AcodX~102_2 |  (dropped)
_AcodX~102_3 |  (dropped)
_AcodX~102_4 |  (dropped)
_AcodXg~67_2 |   .4464671   .1005166     4.44   0.000     .2360834    .6568508
_AcodXg~67_3 |    -.45637   .1194285    -3.82   0.001    -.7063367   -.2064033
_AcodXg~67_4 |   .3241125   .0831299     3.90   0.001     .1501196    .4981053
_AcodX~114_2 |   .2011204   .0657674     3.06   0.006     .0634676    .3387731
_AcodX~114_3 |  -.1516764   .0756702    -2.00   0.059    -.3100559    .0067031
_AcodX~114_4 |   .1175921   .0719495     1.63   0.119        -.033    .2681841
_AcodXg~56_2 |  (dropped)
_AcodXg~56_3 |  (dropped)
_AcodXg~56_4 |  (dropped)
_AcodX~014_2 |   .0330481   .0630823     0.52   0.606    -.0989847    .1650809
_AcodX~014_3 |    -.09802   .0887267    -1.10   0.283    -.2837272    .0876872
_AcodX~014_4 |  -.0288587   .0562179    -0.51   0.614    -.1465241    .0888068
_AcodX~004_2 |  -.4615806   .0771682    -5.98   0.000    -.6230956   -.3000657
_AcodX~004_3 |  -.5307507   .0760372    -6.98   0.000    -.6898983   -.3716032
_AcodX~004_4 |   .1708901   .1015019     1.68   0.109    -.0415559     .383336
_Acod~4028_2 |  -.1283152   .0755141    -1.70   0.106    -.2863681    .0297377
_Acod~4028_3 |  -.3178915   .0848095    -3.75   0.001    -.4953997   -.1403832
_Acod~4028_4 |  -.3411636   .0849639    -4.02   0.001    -.5189951   -.1633321
_AcodXg~06_2 |  -.3428417   .0714687    -4.80   0.000    -.4924274   -.1932561
_AcodXg~06_3 |   -.610445   .0699393    -8.73   0.000    -.7568295   -.4640604
_AcodXg~06_4 |  -.2684787    .091451    -2.94   0.008    -.4598879   -.0770694
_AcodXg~12_2 |  (dropped)
_AcodXg~12_3 |  (dropped)
_AcodXg~12_4 |  (dropped)
_AcodXg~18_2 |  (dropped)
_AcodXg~18_3 |  (dropped)
_AcodXg~18_4 |  (dropped)
_AcodXg~05_2 |  (dropped)
_AcodXg~05_3 |  (dropped)
_AcodXg~05_4 |  (dropped)
_Acod~0028_2 |   .1205594   .1396317     0.86   0.399    -.1716932    .4128119
_Acod~0028_3 |  -.4705733   .1108151    -4.25   0.000    -.7025119   -.2386347
_Acod~0028_4 |  -.1321502    .132094    -1.00   0.330    -.4086262    .1443257
_AcodXg~44_2 |   .1414258   .0873558     1.62   0.122     -.041412    .3242637
_AcodXg~44_3 |  -.3683203   .0676537    -5.44   0.000    -.5099211   -.2267195
_AcodXg~44_4 |   .2998864   .0699744     4.29   0.000     .1534283    .4463444
_AcodXg~50_2 |  -.3194219   .0524693    -6.09   0.000    -.4292415   -.2096023
_AcodXg~50_3 |  -.4281126    .046416    -9.22   0.000    -.5252625   -.3309628
_AcodXg~50_4 |  -.1616757   .0554231    -2.92   0.009    -.2776776   -.0456739
       _cons |    7.03935   .3237306    21.74   0.000     6.361774    7.716926
------------------------------------------------------------------------------

. * ------- *;
. * Table 5 *;
. * ------- *;
. use prices, clear;

. gen sare=1 if month>=sare_month;
(912 missing values generated)

. replace sare=0 if sare==.;
(912 real changes made)

. foreach var in index index_lr index_hr{;
  2. gen ln`var'=ln(`var');
  3. };

. xi i.month;
i.month           _Imonth_200004-200412(naturally coded; _Imonth_200004 omitted)

. egen monthid=group(month);

. foreach var in act_fij form_cap uni_ec val_ag{;
  2. gen `var'trend=ln(`var'99*1000/pop00)*monthid;
  3. };

. foreach var in index index_lr index_hr{;
  2. areg ln`var' sare pan aligned *trend _I*,a(code) cluster(code);
  3. };

Linear regression, absorbing indicators                Number of obs =    1140
                                                       F( 20, 19)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9800
                                                       Adj R-squared =  0.9785
                                                       Root MSE      =  .00997

                                  (Std. Err. adjusted for 20 clusters in code)
------------------------------------------------------------------------------
             |               Robust
     lnindex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0067122    .003748    -1.79   0.089    -.0145569    .0011324
         pan |   .0059257   .0058281     1.02   0.322    -.0062727     .018124
     aligned |  -.0008069   .0062799    -0.13   0.899    -.0139508    .0123371
act_fijtrend |   .0010498    .000724     1.45   0.163    -.0004656    .0025653
form_captr~d |  -.0007103   .0002883    -2.46   0.023    -.0013137   -.0001069
 uni_ectrend |  -.0000227   .0003552    -0.06   0.950    -.0007662    .0007208
 val_agtrend |  -.0001153   .0005021    -0.23   0.821    -.0011663    .0009357
_Imon~200005 |   .0004643   .0019996     0.23   0.819    -.0037209    .0046494
_Imon~200006 |   .0024985   .0040119     0.62   0.541    -.0058985    .0108955
_Imon~200007 |   .0026207    .006133     0.43   0.674    -.0102158    .0154571
_Imon~200008 |   .0043682   .0081799     0.53   0.600    -.0127526     .021489
_Imon~200009 |    .008414   .0101937     0.83   0.419    -.0129217    .0297496
_Imon~200010 |   .0115482   .0120395     0.96   0.350    -.0136507     .036747
_Imon~200011 |   .0151013   .0147538     1.02   0.319    -.0157789    .0459814
_Imon~200012 |    .020484   .0170737     1.20   0.245    -.0152515    .0562196
_Imon~200101 |   .0215813    .019238     1.12   0.276    -.0186844     .061847
_Imon~200102 |   .0186947   .0213517     0.88   0.392    -.0259951    .0633844
_Imon~200103 |   .0199218   .0233967     0.85   0.405    -.0290481    .0688917
_Imon~200104 |   .0208878   .0255558     0.82   0.424    -.0326012    .0743767
_Imon~200105 |   .0191896   .0274443     0.70   0.493     -.038252    .0766312
_Imon~200106 |   .0180994   .0297435     0.61   0.550    -.0441544    .0803532
_Imon~200107 |   .0110283   .0320779     0.34   0.735    -.0561116    .0781682
_Imon~200108 |   .0108714   .0343577     0.32   0.755    -.0610401    .0827829
_Imon~200109 |   .0163505    .036377     0.45   0.658    -.0597874    .0924884
_Imon~200110 |   .0174991   .0380284     0.46   0.651    -.0620953    .0970934
_Imon~200111 |   .0171941   .0405322     0.42   0.676    -.0676408    .1020291
_Imon~200112 |    .014886   .0427258     0.35   0.731      -.07454     .104312
_Imon~200201 |   .0164301   .0448545     0.37   0.718    -.0774515    .1103117
_Imon~200202 |   .0139333   .0470723     0.30   0.770    -.0845901    .1124567
_Imon~200203 |   .0155005   .0494508     0.31   0.757    -.0880013    .1190023
_Imon~200204 |   .0150708   .0517805     0.29   0.774     -.093307    .1234487
_Imon~200205 |   .0143444   .0534621     0.27   0.791    -.0975531    .1262419
_Imon~200206 |   .0141928   .0555254     0.26   0.801    -.1020232    .1304089
_Imon~200207 |   .0128925   .0578158     0.22   0.826    -.1081174    .1339023
_Imon~200208 |   .0138682   .0597151     0.23   0.819    -.1111169    .1388533
_Imon~200209 |   .0178292   .0614851     0.29   0.775    -.1108605    .1465189
_Imon~200210 |   .0205465   .0631388     0.33   0.748    -.1116045    .1526976
_Imon~200211 |   .0246588   .0663373     0.37   0.714    -.1141868    .1635043
_Imon~200212 |   .0249769   .0682714     0.37   0.719    -.1179168    .1678707
_Imon~200301 |   .0243108   .0702485     0.35   0.733    -.1227211    .1713426
_Imon~200302 |   .0207951   .0729381     0.29   0.779    -.1318661    .1734564
_Imon~200303 |   .0226835   .0751591     0.30   0.766    -.1346263    .1799932
_Imon~200304 |   .0179952   .0776367     0.23   0.819    -.1445003    .1804907
_Imon~200305 |   .0116383    .078638     0.15   0.884    -.1529528    .1762295
_Imon~200306 |   .0098414   .0806934     0.12   0.904    -.1590519    .1787347
_Imon~200307 |   .0081722   .0829014     0.10   0.923    -.1653424    .1816868
_Imon~200308 |   .0075687   .0848059     0.09   0.930    -.1699321    .1850695
_Imon~200309 |   .0099249   .0873491     0.11   0.911     -.172899    .1927487
_Imon~200310 |   .0106515   .0891901     0.12   0.906    -.1760255    .1973286
_Imon~200311 |   .0152142   .0927598     0.16   0.871    -.1789344    .2093627
_Imon~200312 |   .0157063   .0948259     0.17   0.870    -.1827665    .2141792
_Imon~200401 |   .0175749   .0973082     0.18   0.859    -.1860934    .2212432
_Imon~200402 |   .0181809   .0997368     0.18   0.857    -.1905706    .2269323
_Imon~200403 |   .0178599   .1020383     0.18   0.863    -.1957088    .2314285
_Imon~200404 |   .0145178   .1045559     0.14   0.891    -.2043203    .2333558
_Imon~200405 |   .0077681   .1055204     0.07   0.942    -.2130887    .2286249
_Imon~200406 |   .0057801   .1078591     0.05   0.958    -.2199716    .2315318
_Imon~200407 |    .005685   .1098946     0.05   0.959     -.224327    .2356969
_Imon~200408 |   .0100657   .1119066     0.09   0.929    -.2241575    .2442889
_Imon~200409 |   .0161287   .1141019     0.14   0.889    -.2226894    .2549467
_Imon~200410 |     .02073    .116081     0.18   0.860    -.2222304    .2636904
_Imon~200411 |   .0263527   .1197098     0.22   0.828    -.2242029    .2769082
_Imon~200412 |   .0251597   .1215756     0.21   0.838     -.229301    .2796205
       _cons |   4.475904   .0053795   832.03   0.000     4.464644    4.487163
-------------+----------------------------------------------------------------
        code |   absorbed                                      (20 categories)

Linear regression, absorbing indicators                Number of obs =    1140
                                                       F( 19, 19)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9611
                                                       Adj R-squared =  0.9580
                                                       Root MSE      =  .01077

                                  (Std. Err. adjusted for 20 clusters in code)
------------------------------------------------------------------------------
             |               Robust
  lnindex_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0103698   .0045441    -2.28   0.034    -.0198807   -.0008589
         pan |   .0099919   .0058223     1.72   0.102    -.0021944    .0221781
     aligned |  -.0019974   .0077876    -0.26   0.800    -.0182971    .0143023
act_fijtrend |   .0008581   .0008261     1.04   0.312     -.000871    .0025873
form_captr~d |  -.0006095   .0003932    -1.55   0.138    -.0014325    .0002135
 uni_ectrend |  -.0005584    .000403    -1.39   0.182    -.0014019    .0002852
 val_agtrend |  -.0001475    .000601    -0.25   0.809    -.0014053    .0011103
_Imon~200005 |   .0036033    .002643     1.36   0.189    -.0019285    .0091352
_Imon~200006 |   .0073004   .0052539     1.39   0.181    -.0036963     .018297
_Imon~200007 |     .00872   .0077888     1.12   0.277    -.0075823    .0250222
_Imon~200008 |   .0116227   .0101193     1.15   0.265    -.0095572    .0328027
_Imon~200009 |    .017031   .0126734     1.34   0.195    -.0094948    .0435568
_Imon~200010 |   .0191207   .0149977     1.27   0.218    -.0122699    .0505112
_Imon~200011 |   .0211186   .0174969     1.21   0.242    -.0155029      .05774
_Imon~200012 |   .0268109   .0199315     1.35   0.194    -.0149061    .0685279
_Imon~200101 |    .030422   .0230337     1.32   0.202     -.017788    .0786321
_Imon~200102 |   .0309134   .0258521     1.20   0.246    -.0231956    .0850224
_Imon~200103 |   .0347828   .0285058     1.22   0.237    -.0248805    .0944461
_Imon~200104 |   .0393219   .0309711     1.27   0.220    -.0255014    .1041453
_Imon~200105 |   .0412964   .0336208     1.23   0.234    -.0290727    .1116656
_Imon~200106 |   .0419778   .0358893     1.17   0.257    -.0331393     .117095
_Imon~200107 |   .0396033   .0384413     1.03   0.316    -.0408553     .120062
_Imon~200108 |   .0442683   .0411341     1.08   0.295    -.0418263    .1303629
_Imon~200109 |   .0513672   .0435787     1.18   0.253    -.0398441    .1425785
_Imon~200110 |   .0534396   .0459374     1.16   0.259    -.0427084    .1495876
_Imon~200111 |   .0536995   .0484553     1.11   0.282    -.0477186    .1551176
_Imon~200112 |   .0556751   .0507096     1.10   0.286    -.0504614    .1618116
_Imon~200201 |   .0600475   .0528852     1.14   0.270    -.0506424    .1707374
_Imon~200202 |    .058959   .0550029     1.07   0.297    -.0561634    .1740813
_Imon~200203 |    .059409   .0577172     1.03   0.316    -.0613944    .1802124
_Imon~200204 |   .0591346   .0599673     0.99   0.336    -.0663785    .1846476
_Imon~200205 |   .0595826   .0623828     0.96   0.352    -.0709862    .1901513
_Imon~200206 |   .0600358   .0646565     0.93   0.365    -.0752919    .1953634
_Imon~200207 |     .06186   .0672497     0.92   0.369    -.0788953    .2026153
_Imon~200208 |   .0672068   .0699144     0.96   0.348    -.0791259    .2135394
_Imon~200209 |   .0701066   .0720174     0.97   0.343    -.0806276    .2208407
_Imon~200210 |    .072448   .0743891     0.97   0.342    -.0832501    .2281461
_Imon~200211 |   .0745537   .0768574     0.97   0.344    -.0863107    .2354181
_Imon~200212 |   .0773235   .0793278     0.97   0.342    -.0887114    .2433584
_Imon~200301 |   .0778739    .081773     0.95   0.353     -.093279    .2490268
_Imon~200302 |   .0791046   .0844811     0.94   0.361    -.0977164    .2559257
_Imon~200303 |   .0851432   .0870123     0.98   0.340    -.0969757    .2672622
_Imon~200304 |   .0858739   .0892144     0.96   0.348    -.1008541    .2726019
_Imon~200305 |   .0882061   .0916258     0.96   0.348     -.103569    .2799812
_Imon~200306 |   .0888727   .0939494     0.95   0.356    -.1077657    .2855111
_Imon~200307 |   .0906274   .0964129     0.94   0.359     -.111167    .2924218
_Imon~200308 |   .0926929   .0990366     0.94   0.361    -.1145929    .2999788
_Imon~200309 |   .0967657   .1016518     0.95   0.353     -.115994    .3095254
_Imon~200310 |   .0991932   .1042483     0.95   0.353     -.119001    .3173875
_Imon~200311 |   .1020874   .1068195     0.96   0.351    -.1214883    .3256631
_Imon~200312 |   .1074393   .1092501     0.98   0.338    -.1212238    .3361025
_Imon~200401 |   .1132548   .1118172     1.01   0.324    -.1207813    .3472909
_Imon~200402 |   .1211077   .1138448     1.06   0.301    -.1171722    .3593876
_Imon~200403 |   .1252067   .1165992     1.07   0.296    -.1188382    .3692517
_Imon~200404 |   .1265108   .1192163     1.06   0.302    -.1230118    .3760334
_Imon~200405 |   .1266263    .121974     1.04   0.312    -.1286682    .3819208
_Imon~200406 |   .1278001    .124454     1.03   0.317    -.1326851    .3882852
_Imon~200407 |   .1302264   .1267771     1.03   0.317    -.1351211    .3955738
_Imon~200408 |   .1414736   .1288463     1.10   0.286    -.1282047     .411152
_Imon~200409 |   .1488267   .1314575     1.13   0.272     -.126317    .4239705
_Imon~200410 |   .1545453    .133899     1.15   0.263    -.1257086    .4347991
_Imon~200411 |   .1592838   .1361836     1.17   0.257    -.1257517    .4443193
_Imon~200412 |   .1623589   .1381514     1.18   0.254    -.1267953    .4515132
       _cons |   4.519288     .00547   826.20   0.000     4.507839    4.530736
-------------+----------------------------------------------------------------
        code |   absorbed                                      (20 categories)

Linear regression, absorbing indicators                Number of obs =    1140
                                                       F( 19, 19)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9508
                                                       Adj R-squared =  0.9470
                                                       Root MSE      =  .01414

                                  (Std. Err. adjusted for 20 clusters in code)
------------------------------------------------------------------------------
             |               Robust
  lnindex_hr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sare |  -.0047102   .0042007    -1.12   0.276    -.0135024     .004082
         pan |   .0110172   .0056042     1.97   0.064    -.0007124    .0227468
     aligned |  -.0067738     .00692    -0.98   0.340    -.0212574    .0077099
act_fijtrend |   .0000789   .0007227     0.11   0.914    -.0014337    .0015915
form_captr~d |  -.0004848    .000392    -1.24   0.231    -.0013052    .0003357
 uni_ectrend |   .0007608   .0003804     2.00   0.060    -.0000353    .0015569
 val_agtrend |   .0006717    .000572     1.17   0.255    -.0005256    .0018689
_Imon~200005 |  -.0051723   .0039733    -1.30   0.209    -.0134885     .003144
_Imon~200006 |  -.0074066   .0065667    -1.13   0.273    -.0211509    .0063377
_Imon~200007 |  -.0104613   .0090647    -1.15   0.263     -.029434    .0085114
_Imon~200008 |  -.0109279   .0126951    -0.86   0.400     -.037499    .0156432
_Imon~200009 |  -.0147043   .0153075    -0.96   0.349    -.0467433    .0173347
_Imon~200010 |  -.0116059   .0177877    -0.65   0.522    -.0488361    .0256242
_Imon~200011 |  -.0078913   .0209481    -0.38   0.711    -.0517361    .0359536
_Imon~200012 |  -.0098465    .024314    -0.40   0.690    -.0607363    .0410433
_Imon~200101 |   -.009461   .0267059    -0.35   0.727     -.065357    .0464351
_Imon~200102 |  -.0153662   .0289695    -0.53   0.602        -.076    .0452676
_Imon~200103 |  -.0157828   .0313765    -0.50   0.621    -.0814546    .0498889
_Imon~200104 |  -.0216176   .0341726    -0.63   0.535    -.0931416    .0499064
_Imon~200105 |  -.0281226   .0367973    -0.76   0.454    -.1051403     .048895
_Imon~200106 |  -.0307542   .0399045    -0.77   0.450    -.1142753    .0527668
_Imon~200107 |  -.0365966   .0430917    -0.85   0.406    -.1267885    .0535953
_Imon~200108 |  -.0392689   .0466267    -0.84   0.410    -.1368598     .058322
_Imon~200109 |  -.0432272   .0496661    -0.87   0.395    -.1471795    .0607252
_Imon~200110 |  -.0407222   .0519332    -0.78   0.443    -.1494196    .0679751
_Imon~200111 |  -.0438931   .0543829    -0.81   0.430    -.1577177    .0699315
_Imon~200112 |  -.0478132   .0573282    -0.83   0.415    -.1678024     .072176
_Imon~200201 |  -.0511029   .0598577    -0.85   0.404    -.1763865    .0741806
_Imon~200202 |  -.0498914   .0622182    -0.80   0.433    -.1801156    .0803328
_Imon~200203 |  -.0496643    .064863    -0.77   0.453     -.185424    .0860955
_Imon~200204 |  -.0570636   .0682226    -0.84   0.413    -.1998552     .085728
_Imon~200205 |  -.0658491   .0711482    -0.93   0.366     -.214764    .0830658
_Imon~200206 |  -.0715042   .0741588    -0.96   0.347    -.2267203    .0837119
_Imon~200207 |  -.0786772   .0772877    -1.02   0.321    -.2404421    .0830878
_Imon~200208 |  -.0809652   .0801816    -1.01   0.325    -.2487873    .0868569
_Imon~200209 |  -.0830922   .0831112    -1.00   0.330    -.2570459    .0908615
_Imon~200210 |  -.0782687   .0853106    -0.92   0.370    -.2568258    .1002884
_Imon~200211 |  -.0768795   .0879936    -0.87   0.393    -.2610522    .1072931
_Imon~200212 |  -.0813751   .0912713    -0.89   0.384    -.2724081    .1096579
_Imon~200301 |  -.0818796   .0940303    -0.87   0.395    -.2786874    .1149281
_Imon~200302 |  -.0870301   .0963599    -0.90   0.378    -.2887137    .1146535
_Imon~200303 |  -.0893428   .0992022    -0.90   0.379    -.2969754    .1182898
_Imon~200304 |  -.0962239   .1023836    -0.94   0.359    -.3105152    .1180674
_Imon~200305 |   -.106542   .1054857    -1.01   0.325    -.3273262    .1142422
_Imon~200306 |  -.1109141   .1081946    -1.03   0.318     -.337368    .1155398
_Imon~200307 |  -.1149783   .1109031    -1.04   0.313    -.3471012    .1171446
_Imon~200308 |  -.1181356   .1142165    -1.03   0.314    -.3571935    .1209224
_Imon~200309 |  -.1225282   .1169383    -1.05   0.308    -.3672829    .1222265
_Imon~200310 |  -.1212116   .1190929    -1.02   0.322     -.370476    .1280527
_Imon~200311 |   -.117238    .121565    -0.96   0.347    -.3716765    .1372004
_Imon~200312 |  -.1211478   .1242965    -0.97   0.342    -.3813033    .1390078
_Imon~200401 |  -.1222366   .1270703    -0.96   0.348    -.3881978    .1437246
_Imon~200402 |  -.1236803   .1289201    -0.96   0.349    -.3935131    .1461526
_Imon~200403 |  -.1261502   .1315417    -0.96   0.350    -.4014701    .1491697
_Imon~200404 |  -.1337898   .1348785    -0.99   0.334    -.4160938    .1485143
_Imon~200405 |   -.140905   .1380721    -1.02   0.320    -.4298931    .1480832
_Imon~200406 |  -.1419364   .1408628    -1.01   0.326    -.4367656    .1528928
_Imon~200407 |  -.1426687   .1436298    -0.99   0.333    -.4432894     .157952
_Imon~200408 |  -.1407138   .1468168    -0.96   0.350    -.4480048    .1665773
_Imon~200409 |  -.1428973    .149633    -0.95   0.352    -.4560827    .1702882
_Imon~200410 |   -.141316   .1515586    -0.93   0.363    -.4585317    .1758997
_Imon~200411 |   -.137078   .1542399    -0.89   0.385    -.4599059    .1857499
_Imon~200412 |  -.1392641   .1569859    -0.89   0.386    -.4678394    .1893111
       _cons |   4.496479   .0057652   779.94   0.000     4.484413    4.508546
-------------+----------------------------------------------------------------
        code |   absorbed                                      (20 categories)

. * ------------- *;
. * Figures 1 & 2 *;
. * ------------- *;
. restore;

. egen sare_quarterid=group(sare_quarter);

. replace sare_quarterid=sare_quarterid+8;
(1636250 real changes made)

. replace sare_quarterid=sare_quarterid+1 if sare_quarter>20022;
(1528492 real changes made)

. replace sare_quarterid=sare_quarterid+1 if sare_quarter>20024;
(1519669 real changes made)

. gen refquarter=quarterid-sare_quarterid;

. keep if refquarter>=-8 & refquarter<=6;
(680110 observations deleted)

. tab refquarter, gen(lag);

 refquarter |      Freq.     Percent        Cum.
------------+-----------------------------------
         -8 |     95,727       10.01       10.01
         -7 |     95,246        9.96       19.97
         -6 |     94,627        9.90       29.87
         -5 |     91,902        9.61       39.48
         -4 |     90,049        9.42       48.90
         -3 |     82,638        8.64       57.54
         -2 |     77,748        8.13       65.67
         -1 |     74,033        7.74       73.42
          0 |     68,236        7.14       80.55
          1 |     53,443        5.59       86.14
          2 |     38,155        3.99       90.13
          3 |     34,182        3.57       93.71
          4 |     24,636        2.58       96.29
          5 |     20,656        2.16       98.45
          6 |     14,862        1.55      100.00
------------+-----------------------------------
      Total |    956,140      100.00

. foreach x in regist_lr worker_lr{;
  2. areg `x' lag2-lag15 female married edad primary secondary highschool university _I*, a(code) cluster(code);
  3. };

Linear regression, absorbing indicators                Number of obs =  956140
                                                       F( 33, 33)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.0474
                                                       Adj R-squared =  0.0473
                                                       Root MSE      =  .26009

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   regist_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        lag2 |  -.0019112   .0009769    -1.96   0.059    -.0038988    .0000763
        lag3 |  -.0013229   .0013176    -1.00   0.323    -.0040036    .0013577
        lag4 |   .0006968    .001529     0.46   0.652    -.0024141    .0038076
        lag5 |  -.0024548   .0012381    -1.98   0.056    -.0049737    .0000641
        lag6 |  -.0008925   .0012948    -0.69   0.495    -.0035267    .0017418
        lag7 |   -.001209   .0013317    -0.91   0.371    -.0039183    .0015004
        lag8 |   .0007437   .0015745     0.47   0.640    -.0024597    .0039471
        lag9 |   .0004197   .0014681     0.29   0.777    -.0025672    .0034065
       lag10 |   .0012212   .0010979     1.11   0.274    -.0010125    .0034548
       lag11 |   .0002015   .0019158     0.11   0.917    -.0036963    .0040993
       lag12 |   .0003374   .0017308     0.19   0.847     -.003184    .0038588
       lag13 |   .0032184   .0030295     1.06   0.296    -.0029453     .009382
       lag14 |  -.0008597   .0034969    -0.25   0.807    -.0079742    .0062549
       lag15 |    .000507   .0011157     0.45   0.652    -.0017629    .0027769
      female |  -.0631902   .0037205   -16.98   0.000    -.0707596   -.0556208
     married |   .0212433   .0014462    14.69   0.000     .0183009    .0241857
        edad |    .002643   .0001164    22.71   0.000     .0024061    .0028798
     primary |   .0258932   .0024432    10.60   0.000     .0209226    .0308639
   secondary |   .0406042   .0033352    12.17   0.000     .0338186    .0473897
  highschool |   .0485141   .0030242    16.04   0.000     .0423614    .0546668
  university |   .1138185   .0061738    18.44   0.000     .1012577    .1263792
_Iquar~20003 |   .0084969   .0009843     8.63   0.000     .0064943    .0104994
_Iquar~20004 |   .0047172   .0017082     2.76   0.009     .0012418    .0081925
_Iquar~20011 |  -.0006287   .0016639    -0.38   0.708     -.004014    .0027566
_Iquar~20012 |   .0022257    .000882     2.52   0.017     .0004314    .0040201
_Iquar~20013 |    .007387   .0018171     4.07   0.000     .0036902    .0110838
_Iquar~20014 |   .0068303   .0018888     3.62   0.001     .0029875    .0106731
_Iquar~20021 |   .0060762    .001401     4.34   0.000     .0032257    .0089266
_Iquar~20022 |    .009664   .0012616     7.66   0.000     .0070973    .0122306
_Iquar~20023 |   .0088073   .0010826     8.14   0.000     .0066047      .01101
_Iquar~20024 |    .008145   .0013657     5.96   0.000     .0053665    .0109235
_Iquar~20031 |   .0082216   .0017793     4.62   0.000     .0046015    .0118416
_Iquar~20032 |    .009029   .0016848     5.36   0.000     .0056013    .0124568
_Iquar~20033 |   .0081907   .0019967     4.10   0.000     .0041285     .012253
_Iquar~20034 |   .0069622   .0016439     4.24   0.000     .0036176    .0103068
_Iquar~20041 |   .0054173   .0021856     2.48   0.018     .0009707    .0098639
_Iquar~20042 |   .0049388   .0017087     2.89   0.007     .0014625    .0084151
_Iquar~20043 |   .0029721   .0012557     2.37   0.024     .0004174    .0055268
_Iquar~20044 |  (dropped)
       _cons |  -.0530039   .0057618    -9.20   0.000    -.0647264   -.0412813
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

Linear regression, absorbing indicators                Number of obs =  956140
                                                       F( 33, 33)    =       .
                                                       Prob > F      =
                                                       R-squared     =  0.0764
                                                       Adj R-squared =  0.0763
                                                       Root MSE      =  .44021

                                  (Std. Err. adjusted for 34 clusters in code)
------------------------------------------------------------------------------
             |               Robust
   worker_lr |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        lag2 |  -.0036784   .0020863    -1.76   0.087    -.0079229    .0005662
        lag3 |  -.0005919   .0025299    -0.23   0.816    -.0057391    .0045553
        lag4 |   .0001207    .002319     0.05   0.959    -.0045973    .0048387
        lag5 |    .000491    .001912     0.26   0.799    -.0033991    .0043811
        lag6 |   .0000431    .002342     0.02   0.985    -.0047217     .004808
        lag7 |   .0007018   .0028984     0.24   0.810     -.005195    .0065986
        lag8 |    .002358   .0030548     0.77   0.446     -.003857    .0085729
        lag9 |   .0063405   .0025236     2.51   0.017     .0012063    .0114747
       lag10 |   .0056828   .0030523     1.86   0.072    -.0005272    .0118927
       lag11 |   .0109196   .0024603     4.44   0.000     .0059141    .0159251
       lag12 |   .0114504   .0025221     4.54   0.000     .0063191    .0165817
       lag13 |   .0123064   .0039146     3.14   0.004     .0043421    .0202708
       lag14 |   .0103342   .0048448     2.13   0.040     .0004775     .020191
       lag15 |   .0130733   .0045147     2.90   0.007     .0038881    .0222586
      female |  -.1447367   .0105435   -13.73   0.000    -.1661877   -.1232857
     married |  -.0900353   .0070532   -12.77   0.000    -.1043852   -.0756855
        edad |  -.0060264   .0001807   -33.35   0.000     -.006394   -.0056588
     primary |   .0059898   .0042148     1.42   0.165    -.0025852    .0145648
   secondary |  -.0059448   .0042339    -1.40   0.170    -.0145587    .0026692
  highschool |  -.0885549   .0071227   -12.43   0.000    -.1030462   -.0740637
  university |  -.1336382   .0085031   -15.72   0.000    -.1509379   -.1163385
_Iquar~20003 |   .0076807   .0021121     3.64   0.001     .0033836    .0119777
_Iquar~20004 |  -.0023514   .0046191    -0.51   0.614    -.0117492    .0070463
_Iquar~20011 |  -.0071563   .0062748    -1.14   0.262    -.0199225      .00561
_Iquar~20012 |  -.0054501   .0033249    -1.64   0.111    -.0122148    .0013145
_Iquar~20013 |  -.0063815   .0026024    -2.45   0.020     -.011676   -.0010869
_Iquar~20014 |  -.0042242   .0019914    -2.12   0.042    -.0082757   -.0001727
_Iquar~20021 |  -.0095362   .0029975    -3.18   0.003    -.0156346   -.0034378
_Iquar~20022 |  -.0082756   .0025889    -3.20   0.003    -.0135427   -.0030085
_Iquar~20023 |  -.0056603   .0024274    -2.33   0.026    -.0105988   -.0007218
_Iquar~20024 |  -.0046497   .0025349    -1.83   0.076     -.009807    .0005075
_Iquar~20031 |  -.0039738   .0035703    -1.11   0.274    -.0112378    .0032901
_Iquar~20032 |  -.0058642   .0028512    -2.06   0.048    -.0116649   -.0000634
_Iquar~20033 |  -.0039439   .0031414    -1.26   0.218    -.0103351    .0024472
_Iquar~20034 |  -.0013319   .0030322    -0.44   0.663     -.007501    .0048373
_Iquar~20041 |  -.0008582   .0029992    -0.29   0.777    -.0069601    .0052437
_Iquar~20042 |   .0008258   .0029631     0.28   0.782    -.0052028    .0068544
_Iquar~20043 |   .0028059   .0023076     1.22   0.233    -.0018889    .0075006
_Iquar~20044 |  (dropped)
       _cons |   .7056051    .013951    50.58   0.000     .6772216    .7339886
-------------+----------------------------------------------------------------
        code |   absorbed                                      (34 categories)

. log close;
       log:  C:\Users\mbruhn\Documents\License to Sell\Paper\RESTAT\Data\tables_and_figures.log
  log type:  text
 closed on:  25 Jan 2010, 12:06:47
-----------------------------------------------------------------------------------------------------------------------------
